CN109767405B - 一种基于噪声水平函数的信号依赖噪声分段线性去噪方法 - Google Patents
一种基于噪声水平函数的信号依赖噪声分段线性去噪方法 Download PDFInfo
- Publication number
- CN109767405B CN109767405B CN201910080360.XA CN201910080360A CN109767405B CN 109767405 B CN109767405 B CN 109767405B CN 201910080360 A CN201910080360 A CN 201910080360A CN 109767405 B CN109767405 B CN 109767405B
- Authority
- CN
- China
- Prior art keywords
- formula
- avg
- noise
- ith
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Image Processing (AREA)
- Picture Signal Circuits (AREA)
Abstract
Description
Claims (3)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910080360.XA CN109767405B (zh) | 2019-01-28 | 2019-01-28 | 一种基于噪声水平函数的信号依赖噪声分段线性去噪方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910080360.XA CN109767405B (zh) | 2019-01-28 | 2019-01-28 | 一种基于噪声水平函数的信号依赖噪声分段线性去噪方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109767405A CN109767405A (zh) | 2019-05-17 |
CN109767405B true CN109767405B (zh) | 2020-08-04 |
Family
ID=66454413
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910080360.XA Active CN109767405B (zh) | 2019-01-28 | 2019-01-28 | 一种基于噪声水平函数的信号依赖噪声分段线性去噪方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109767405B (zh) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102436646A (zh) * | 2011-11-07 | 2012-05-02 | 天津大学 | 基于压缩感知的ccd噪声估计方法 |
CN103578477B (zh) * | 2012-07-30 | 2017-04-12 | 中兴通讯股份有限公司 | 基于噪声估计的去噪方法和装置 |
CN105911153B (zh) * | 2016-04-08 | 2018-07-13 | 暨南大学 | 一种基于移动窗函数的信号分离与去噪方法及装置 |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130321675A1 (en) * | 2012-05-31 | 2013-12-05 | Apple Inc. | Raw scaler with chromatic aberration correction |
CN103020913B (zh) * | 2012-12-18 | 2015-06-24 | 武汉大学 | 基于分段校正的遥感影像条带噪声去除方法 |
CN104504700B (zh) * | 2014-12-19 | 2017-12-26 | 成都品果科技有限公司 | 一种获取图像传感器噪声水平曲线的方法及*** |
-
2019
- 2019-01-28 CN CN201910080360.XA patent/CN109767405B/zh active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102436646A (zh) * | 2011-11-07 | 2012-05-02 | 天津大学 | 基于压缩感知的ccd噪声估计方法 |
CN103578477B (zh) * | 2012-07-30 | 2017-04-12 | 中兴通讯股份有限公司 | 基于噪声估计的去噪方法和装置 |
CN105911153B (zh) * | 2016-04-08 | 2018-07-13 | 暨南大学 | 一种基于移动窗函数的信号分离与去噪方法及装置 |
Also Published As
Publication number | Publication date |
---|---|
CN109767405A (zh) | 2019-05-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Deng et al. | Wavelet domain style transfer for an effective perception-distortion tradeoff in single image super-resolution | |
CN109872285B (zh) | 一种基于变分约束的Retinex低照度彩色图像增强方法 | |
CN112819772B (zh) | 一种高精度快速图形检测识别方法 | |
CN110211056B (zh) | 基于局部中值直方图的自适应红外图像去条纹算法 | |
CN109671029B (zh) | 基于伽马范数最小化的图像去噪方法 | |
CN113313641A (zh) | 一种自适应中值滤波的ct图像去噪方法 | |
CN110992292B (zh) | 一种增强型低秩稀疏分解模型医学ct图像去噪方法 | |
CN106991661B (zh) | 融合kl变换与灰色关联度的非局部均值去噪方法 | |
CN107194873B (zh) | 基于耦合字典学习的低秩核范数正则人脸图像超分辨方法 | |
CN107146228A (zh) | 一种基于先验知识的大脑磁共振图像超体素生成方法 | |
CN109544487A (zh) | 一种基于卷积神经网络的红外图像增强方法 | |
CN108550116A (zh) | 低信噪比下的硅单晶生长图像的自适应随机共振去噪方法 | |
CN107203980B (zh) | 自适应多尺度暗通道先验的水下目标探测图像增强方法 | |
CN114092353A (zh) | 一种基于加权引导滤波的红外图像增强方法 | |
CN104200434B (zh) | 一种基于噪声方差估计的非局部均值图像去噪方法 | |
CN111563854B (zh) | 用于水下图像增强处理的粒子群优化方法 | |
CN113808036A (zh) | 基于Retinex模型的低照度图像增强与去噪方法 | |
CN109272539A (zh) | 基于引导图全变分模型的图像纹理和结构的分解方法 | |
CN105719254A (zh) | 一种图像降噪方法及*** | |
CN109767405B (zh) | 一种基于噪声水平函数的信号依赖噪声分段线性去噪方法 | |
CN116664462B (zh) | 一种基于ms-dsc和i_cbam的红外和可见光图像融合方法 | |
CN112184567A (zh) | 一种基于交替最小化的多通道盲识别自适应光学图像复原方法 | |
CN112465725A (zh) | 一种基于PWC-Net的红外图像帧率上转换方法 | |
CN114066786A (zh) | 一种基于稀疏和滤波器的红外和可见光图像融合方法 | |
CN116612032A (zh) | 基于自适应维纳滤波和2d-vmd的声呐图像去噪方法及设备 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20190517 Assignee: Hangzhou Yufeng Audio visual Technology Co.,Ltd. Assignor: HANGZHOU DIANZI University Contract record no.: X2022980022886 Denomination of invention: A Piecewise Linear Denoising Method for Signal Dependent Noise Based on Noise Level Function Granted publication date: 20200804 License type: Common License Record date: 20221122 |
|
EE01 | Entry into force of recordation of patent licensing contract | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20190517 Assignee: HANGZHOU SHENGSHI TECHNOLOGY Co.,Ltd. Assignor: HANGZHOU DIANZI University Contract record no.: X2023980032721 Denomination of invention: A piecewise linear denoising method of signal dependent noise based on noise level function Granted publication date: 20200804 License type: Common License Record date: 20230224 |
|
EE01 | Entry into force of recordation of patent licensing contract |