CN108200433A - A kind of compression of images and decompression method - Google Patents
A kind of compression of images and decompression method Download PDFInfo
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- CN108200433A CN108200433A CN201810109934.7A CN201810109934A CN108200433A CN 108200433 A CN108200433 A CN 108200433A CN 201810109934 A CN201810109934 A CN 201810109934A CN 108200433 A CN108200433 A CN 108200433A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/182—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a pixel
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/85—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression
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Abstract
The invention discloses a kind of compression of images and decompression method, including multiple image is divided into multiple subregions to produce downscaled images and build decompression table according to the pixel distribution situation of subregion and its neighbour's subregion come for image restoring later.Memory space needed for decompression data and processing time when the decompression table of embodiment according to the invention structure will be helpful to further reduce several content similar pictures of batch processing, and the visual impact that quality caused by reducing compression of images degrades to user.
Description
Technical field
Field of the present invention about image processing techniques, more properly about a kind of compression of images and decompression method.
Background technology
In the processing and storage of image, it is often necessary to the size of picture be compressed, in order to save process resource
And memory space.Such as the possible pixel number of original picture is excessive, and shadow will not visually be generated in actual use by being reduced
When ringing, picture can be reduced into original a quarter, and then reuse picture compression technology further to reduce image
Processing time and memory space can be all reduced to original a quarter or so by size in this way.In mass disposal image
In application scenarios, similar operation is very frequent and necessary.User is frequently necessary to a large amount of high-resolution captured by camera
Rate picture uploads to mobile phone, and carries out amending image by the APP on mobile phone, due to cell phone processor performance and memory space phase
It is larger for PC ends gap, it is typically necessary after being reduced and being compressed to picture and carries out the image-modification operations such as filter again.
In addition, mobile phone user it may also be desirable to carry out several approximate images similar operation, for example carry out batch rapid image and repair
Change or into Mobile state user-defined data table feelings make etc..Since handset image modification APP performances are repaiied relative to the specialized image at PC ends
Change that system is very limited, and the accuracy of user's contact action also declines to a great extent compared to PC ends, it is therefore desirable to automatic image
Processing mode carries out large batch of image down and compression, to adapt to carry out picture modification on mobile phone, dynamic expression makes,
The operations such as short video clip or simple lantern slide editor.Picture compression is broadly divided into two big kinds of lossy compression and lossless compression at present
Class, lossless compression typically comprises the RAW format-patterns that camera is directly shot, and lossy compression for example has including popular JPEG
Damage compressed format image.Lossless compression may be relatively low compared to lossy compression compression ratio, but can preferably protect picture quality, has
Although damage compression compression ratio is more satisfactory, it can generally give up some kinds of image information in image, in printing or amplification
It is possible that obvious image flaw.How to promote the quality of compression image as possible in the case where ensureing processing speed is
The key point of better user experience is provided.Compression of images is carried out again especially on mobile phone after diminution picture to be easier to make
Picture quality is damaged, this just needs a kind of simple and practicable method to come according to image of different nature in compression ratio and picture quality
Between compromise.The image handled by amending image APP on mobile phone may include the scene of significantly different type, such as clap
Taking the photograph word, the face picture quality when comparing stronger scene can be easier to be perceived by the user once being damaged after diminution, and
Such as shooting natural land, performance competition field are not easy picture quality is damaged by user when the more complicated scene of backgrounds
Perceive, therefore should try through the judgement to picture material, targetedly select compress mode and reduce mode so as to
User's vision is difficult to save as much as possible under the premise of discovering variation required when batch modification is especially carried out to plurality of pictures
Process resource and memory space so that user can obtain being suitble to what is reproduced on mobile phone by more convenient processing method
Picture or video.
Invention content
It is an object of the present invention to provide a kind of image coding modes for saving batch images compression or decompression
Treatment effeciency and memory space during contracting.
The embodiment of the present invention about a kind of compression of images and decompression method, including by multiple image spatially with
Same way is divided into the identical square subregion of multiple sizes, includes being located in cartesian coordinate system respectively per sub-regions
Four pixels in first, second, third and fourth quadrant；By the pixel value in every sub-regions first quartile of each image
As the pixel value that the subregion is corresponded in downscaled images to obtain narrowing down to picture size the downscaled images of a quarter；Really
Determine every sub-regions of each image, determine the equal first kind subregion of four pixel values respectively, include two kinds of pixel values
And in arest neighbors quadrant also including the pixel value identical with another pixel value except the subregion first quartile pixel value the
Two type subregions, comprising in two kinds of pixel values and arest neighbors quadrant not include with except the subregion first quartile pixel value
The third type subregion of the identical pixel value of another pixel value and the 4th type subregion for including three kinds or more pixel values,
Arest neighbors quadrant is second, third and the adjacent quadrants in adjacent subarea domain each among fourth quadrant；And for every width
Image creation decompresses table, decompression table include correspond to per sub-regions second, third, the decompression of the pixel of fourth quadrant
Contracting data and the first kind, Second Type, third type and the 4th type subregion quantity, decompression data are for one kind
The subregion of type only includes one in both pixel value and the arest neighbors quadrant position with same pixel value.
In some embodiments, it stores every width downscaled images are associated with corresponding decompression table.
In some embodiments, it deposits every width downscaled images are associated with the offset of corresponding decompression table
Storage, offset are the decompression data of the corresponding decompression table of a width downscaled images and the corresponding decompression of upper width downscaled images
The difference of the decompression data of table.
In some embodiments, the decompression data of Second Type subregion include the pixel distribution cloth in the subregion
Office and in arest neighbors quadrant with same pixel value when the arest neighbors quadrant with the same pixel value position.
In some embodiments, the decompression data of third type subregion and the 4th type subregion include second, the
Three and the pixel value of fourth quadrant.
In some embodiments, the sum of the first kind stored in decompression table and the quantity of Second Type subregion are big
When the sum of third type and the quantity of the 4th type subregion, lossless compression is carried out to downscaled images.
In some embodiments, the sum of the first kind stored in decompression table and the quantity of Second Type subregion are small
In or equal to third type and the 4th type subregion the sum of quantity when, lossy compression is carried out to downscaled images.
In some embodiments, the number of all first kind and Second Type subregion in the decompression table of multiple image
When the sum of amount is more than the sum of all third types and the quantity of the 4th type subregion, lossless compression is carried out to multiple image.
In some embodiments, the number of all first kind and Second Type subregion in the decompression table of multiple image
When the sum of amount is less than or equal to the sum of all third types and the quantity of the 4th type subregion, multiple image is carried out to damage pressure
Contracting.
In some embodiments, pixel value for rgb color channel value and transparent channel value any one of.
The embodiment of the present invention helps to include coming in mobile phone with the utilization ratio of higher process resource and memory space
Several pictures of upper batch processing, while ensure that compressed picture quality reduction is difficult to by mobile phone user's visual inspection.The present invention
Embodiment also allow compressed picture is reduced to original picture quality at any time by decompression table, can both facilitate use
Batch processing picture is used for mobile phone on mobile phone in a more automatic way at family, and can be in the situation for saving memory space
Original image then is restored to carry out finer amending image at PC sections down.Batch is carried out in such as manufacture dynamic expression etc.
In the case of as the picture category of processing, the decompression table of embodiment structure according to the invention will be helpful to further reduce decompression
Memory space needed for contracting data.
Description of the drawings
There is provided herein attached drawings to be illustrated with reference to specification to embodiment, but provide attached drawing and be not intended to
Make limitation.
Fig. 1 is the schematic diagram that image region in accordance with some embodiments divides.
Fig. 2 is the flow chart of compression image method in accordance with some embodiments.
Specific embodiment
It will be understood by those skilled in the art that although first, second grade of term can describe various elements herein, this
A little elements should not be limited by these terms.These terms are only used to element is distinguished from each other out.For example, the first element can be referred to as
Second element, and similarly, second element can be referred to as the first element, be made without departing from the scope of the present invention.As used herein
, term "and/or" includes associated any or all combination listed in one or more of project.
Fig. 1 is the schematic diagram that image region in accordance with some embodiments divides.The identical image of several sizes will be in sky
Between on be divided into the identical square subregion of multiple sizes in the same manner, per sub-regions include respectively be located at Descartes sit
Four pixels in mark system in first, second, third and fourth quadrant.In this way, the picture of such as 1024*768 will be divided into
196608 sub-regions, and the small size picture that size is 512*384 can be mapped as.As shown in Figure 1, the first subregion includes
Four pixels 101,102,103 and 104 being located at respectively in first, second, third and fourth quadrant.Similarly, the second sub-district
Domain includes four pixels 111,112,113 and 114 being located at respectively in first, second, third and fourth quadrant, third subregion
Including four pixels 121,122,123 and 124 being located at respectively in first, second, third and fourth quadrant, and the 4th subregion
Including four pixels 131,132,133 and 134 being located at respectively in first, second, third and fourth quadrant.Except positioned at image side
Other than the edge quadrant of edge or the subregion of four corners, remaining quadrant will have the adjacent subarea of arest neighbors quadrant, the i.e. quadrant
Quadrant is closed in domain.For example, fourth quadrant 104 has there are three arest neighbors quadrant 113,121 and 132 in the first subregion, and
Similarly, the first quartile 121 in third subregion also has there are three arest neighbors quadrant 104,113 and 132.
Fig. 2 is the flow chart of compression image method in accordance with some embodiments.In step s 201, several are being read first
After image, sub-zone dividing is carried out to each image according to above-mentioned dividing mode.After completing sub-zone dividing, by each image
Every sub-regions a quadrant in pixel value be mapped as a pixel in downscaled images, to obtain contracting picture size
The small downscaled images to a quarter.This is primarily to reduce the processing time needed for image operation, although can also adopt
The pixel in downscaled images is determined with other method of samplings such as averaging, interpolation, but directly using the pixel value in a quadrant
As representing, pixel efficiency is higher, and required picture quality is enough to provide for mobile terminal.Used be used as represents pixel
Quadrant can be any one of first, second, third and fourth quadrant, made herein as example using first quartile
To represent pixel.
In step S202, the situation of the pixel distribution per sub-regions is determined to reduce the decompression of different type subregion
Processing and storage resource needed for contracting data.Herein, the pixel value of each pixel of subregion can be rgb color channel value
With transparent channel value any one of.For the ease of following description, each pixel value is for example comprising 8 bits.Into
During row decompression, rgb color channel and transparent channel can be handled separately or together.Such as pictures all in subregion
The pixel value of element is consistent, such as four pixels 101,102,103 and 104 of the first subregions of Fig. 1 are respectively provided with identical pixel
Value does not need to production decompression data then, can be reduced directly entire subregion from pixel 101 yet at this time.Four pixel values are opposite
Subregion be known as first kind subregion.In addition, also should determine that comprising in two kinds of pixel values and arest neighbors quadrant also include with
The Second Type subregion of the identical pixel value of another pixel value except the subregion first quartile pixel value.Such as in Fig. 1
The pixel that represents in the second subregion including four pixels 111,112,113 and 114 is 111, and pixel 112 and 114 and 111
Identical, only pixel 113 has different colors, but the pixel value of pixel 121 is identical with 113 in third subregion.At this point,
Do not need to store the pixel value of pixel 113 using 8 bits, and the position data for being available with 2 bits has to store
The arest neighbors quadrant position of same pixel value, such as indicate with 10 113 nearest neighbor pixels 121.In three nearest neighbor pixels
When middle two or more has same pixel value, the position of any one can be stored.Two kinds are included in order to further reduce
The decompression size of data of the subregion of color can be laid out with 3 bits to define the pixel distribution in the subregion, such as with
111 represent that the pixel other than first quartiles is consistent, with 001 represent second and third quadrant it is different from the pixel of first quartile and the
Four-quadrant is identical with first quartile, represent second with 101 and fourth quadrant is identical with first quartile and third pixel with first as
Limit differs.In the case of comprising two kinds of pixels, pixel distribution layout share 8 kinds, can by simply correspond to table and
Above-mentioned 3 bit carries out corresponding.Also should determine that comprising in two kinds of pixel values and arest neighbors quadrant not include and the subregion first
The third type subregion of the identical pixel value of another pixel value except quadrant pixel value can not pass through 2 ratios in the case of such
Special position data determines the pixel value different from representing pixel, needs the storing pixel values in data are decompressed.These methods
It can be more efficient compared to the decompression data of 8 bits of storage.Finally, it also should determine that including three kinds or more colors
In the case of three kinds or more colors, decompression is stored using pixel distribution layout and arest neighbors quadrant for 4th type subregion
The resource that contracting data are saved is relatively limited compared to direct storage pixel, therefore can direct storing pixel values.To sum up, second
The decompression data of type subregion include the pixel distribution layout in the subregion and have phase in arest neighbors quadrant
With the position of the arest neighbors quadrant with the same pixel value during pixel value.And third type subregion and the 4th type sub-district
The decompression data in domain include the pixel value of second, third and fourth quadrant.For general picture, included in subregion
Second Type and subregion quantity will occupy most ratio during four pixels, and the key for improving the level of resources utilization also exists
In the subregion of processing Second Type.
In step S203, the decompression table of image is established according to above-mentioned steps, decompression table, which includes, to be corresponded to each
Subregion second, third, the decompression data of the pixel of fourth quadrant and the first kind, Second Type, third type and
The quantity of 4th type subregion.For the subregion of the first kind, do not need to provide decompression data, 1 can be used only
The indicating bit of bit indicates to be reduced to original subregion using a pixel in downscaled images.For the son of Second Type
Region, by the above-mentioned pixel distribution situation in subregion and the deposit decompression table of the arest neighbors quadrant situation with same pixel value
Without storing pixel values.For the third and fourth type subregion then on the contrary, in compaction table storing pixel values without
Store pixel distribution situation or arest neighbors quadrant situation.Can by every width downscaled images it is associated with corresponding decompression table into
Row is stored on identical or different memory to go back original picture at any time.It, will be every in the case of batch processing multiple image
Width downscaled images are associated with the offset of corresponding decompression table to be stored, and offset is corresponding to a width downscaled images
The difference of the decompression data and the decompression data of the corresponding decompression table of upper width downscaled images of table is decompressed, and can be only
Including there is the position changed, this is for handling the smaller self-defined expression of adjacent image difference or cardon advantageously.Decompression
Contracting table further includes the quantity of the first kind, Second Type, third type and the 4th type subregion.These quantity can be used for judging
Storage efficiency is further improved using which kind of compression method to downscaled images.The first kind stored in decompression table and
When the sum of quantity of two type subregions is more than the sum of quantity of third type and the 4th type subregion, can to downscaled images into
Row lossless compression.Picture is generally by a relatively simple at this time, may include the object that word, face etc. have limbus, needs
Lossless compression is carried out to avoid occurring being evident that picture quality degrades, is otherwise damaged again on picture basis is reduced
Easily there is situations such as apparent fracture, noise, obscure in user's amplification picture or uncompressed picture in compression.If decompressing
The sum of the first kind stored in table and the quantity of Second Type subregion are less than or equal to third type and the 4th type sub-district
The sum of the quantity in domain then carries out lossy compression to downscaled images.Picture generally comprises more complicated image information at this time, such as
Drawing, CG, natural land etc. are difficult to be found by user's vision, therefore can pass through lossy compression even if carry out lossy compression
Promote compression ratio.The relative scale of first and second type subregion quantity and the third and fourth type subregion quantity is to weigh
Carry out lossless or lossy compression mode simpler index.It can also judge first and the 4th type subregion on this basis
Quantity ratio, the index that the other skilled in the art such as second and third type subregion quantity ratio are readily apparent that.Locating
Reason such as cardon, expression during multiple image, as multiple image decompression table in all first kind and Second Type sub-district
When the sum of the quantity in domain is more than the sum of all third types and the quantity of the 4th type subregion, then multiple image is carried out lossless
Compression.And the sum of all first kind and the quantity of Second Type subregion are less than or equal in the decompression table of multiple image
When the sum of all third types and the quantity of the 4th type subregion, then lossy compression is carried out to multiple image.It is handling in this way
During multiple image, can compress mode be selected according to the feature of image totality.
Above-described embodiment is only the example under principle of the present invention, and those skilled in the art check shown attached drawing and description
When the alternate embodiments that are envisioned that or equivalent embodiments should also be included within the scope of the present invention.
Claims (10)
1. a kind of compression of images and decompression method, it is characterised in that including：
Multiple image is spatially divided into the identical square subregion of multiple sizes in the same manner, per sub-regions packet
Include four pixels being located at respectively in cartesian coordinate system in first, second, third and fourth quadrant；
Using the pixel value in every sub-regions first quartile of each image as the pixel that the subregion is corresponded in downscaled images
Value is to obtain narrowing down to picture size the downscaled images of a quarter；
It determines every sub-regions of each image, determines the equal first kind subregion of four pixel values respectively, includes two kinds
Also include the pixel identical with another pixel value except the subregion first quartile pixel value in pixel value and arest neighbors quadrant
The Second Type subregion of value, comprising in two kinds of pixel values and arest neighbors quadrant not include and the subregion first quartile pixel value
Except the identical pixel value of another pixel value third type subregion and include the 4th type of three kinds or more pixel values
Subregion, the arest neighbors quadrant be in each adjacent subarea domain among second, third and the fourth quadrant it is adjacent as
Limit；And decompression table is created for each image, the decompression table includes described second, the corresponded to per sub-regions
3rd, the decompression data of the pixel of fourth quadrant and the first kind, Second Type, third type and the 4th type sub-district
The quantity in domain, the decompression data only include a type of subregion pixel value with having the nearest of same pixel value
One in adjacent quadrant position the two.
2. method described in claim 1, it is characterised in that further include downscaled images described in every width and the corresponding solution
Compaction table, which is associated, to be stored.
3. method described in claim 1, it is characterised in that further include downscaled images described in every width and the corresponding solution
The offset of compaction table, which is associated, to be stored, decompression number of the offset for the corresponding decompression table of a width downscaled images
According to upper width downscaled images corresponding to decompression table decompression data difference.
4. method described in claim 1, it is characterised in that the decompression data of the Second Type subregion are included in
In the subregion pixel distribution layout and in arest neighbors quadrant with same pixel value when with the same pixel value
The arest neighbors quadrant position.
5. the method described in claim 4, it is characterised in that the third type subregion and the 4th type subregion
Decompression data pixel value of second, third and fourth quadrant including described in.
6. the method described in claim 5, it is characterised in that be additionally included in the first kind stored in the decompression table
When being more than the sum of the third type and the quantity of the 4th type subregion with the sum of the quantity of Second Type subregion, to described
Downscaled images carry out lossless compression.
7. the method described in claim 6, it is characterised in that be additionally included in the first kind stored in the decompression table
When being less than or equal to the sum of the third type and the quantity of the 4th type subregion with the sum of the quantity of Second Type subregion,
Lossy compression is carried out to the downscaled images.
8. the method described in claim 5, it is characterised in that be additionally included in all first in the decompression table of the multiple image
It is right when the sum of type and the quantity of Second Type subregion are more than the sum of all third types and the quantity of the 4th type subregion
The multiple image carries out lossless compression.
9. method according to any one of claims 8, it is characterised in that be additionally included in all first in the decompression table of the multiple image
The sum of type and the quantity of Second Type subregion be less than or equal to all third types and the 4th type subregion quantity it
And when, lossy compression is carried out to the multiple image.
10. method described in claim 1, it is characterised in that the pixel value for rgb color channel value and transparent channel value it
Any one of.
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| CN201810109934.7A CN108200433B (en) | 2018-02-05 | 2018-02-05 | Image compression and decompression method |
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| CN114390287A (en) * | 2022-03-24 | 2022-04-22 | 青岛大学附属医院 | Medical image transmission control method and system |
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