亮色分离的饱和图像校正方法

符均; 牟轩沁; 季文博

doi:10.7652/xjtuxb201410016

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亮色分离的饱和图像校正方法

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- 亮色分离的饱和图像校正方法
- A Correction Method for Saturated Images Based on Separation of Luminance and Chrominance
- 西安交通大学学报 2014年48卷第10期页码：101-107
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2014-04-15。作者简介: 符均(1975—),男,博士生;牟轩沁(通信作者),男,教授,博士生导师。基金项目: 国家自然科学基金资助项目(90920003)
- DOI：10.7652/xjtuxb201410016
  中图分类号： TP391.4
- 网络首发：2014-10-10，
  
  纸质出版：2014
- 稿件说明：
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符均, 牟轩沁, 季文博. 亮色分离的饱和图像校正方法[J]. 西安交通大学学报, 2014,48(10):101-107.

A Correction Method for Saturated Images Based on Separation of Luminance and Chrominance[J]. 2014, 48(10): 101-107.
符均, 牟轩沁, 季文博. 亮色分离的饱和图像校正方法[J]. 西安交通大学学报, 2014,48(10):101-107. DOI： 10.7652/xjtuxb201410016.

A Correction Method for Saturated Images Based on Separation of Luminance and Chrominance[J]. 2014, 48(10): 101-107. DOI： 10.7652/xjtuxb201410016.

摘要

针对图像饱和产生的偏色和细节丢失问题

提出了一种在YC

色彩空间进行的饱和图像校正方法。在校正时不仅考虑用邻域颜色去校正饱和像素

同时参考了该像素的不饱和通道信息。在单通道饱和像素校正中

设定校正点位于原饱和通道方向的延长线上

且为该线与邻域加权平均颜色组成的直线的最短距离点。由于校正是在YC

三维空间进行的

因此校正像素的亮度值被同时固定。在双通道饱和像素校正中

校正点颜色用邻域颜色相关性恢复

亮度值通过参考不饱和通道原始数值计算恢复。在3通道饱和像素校正时

对校正点颜色使用邻域恢复

而对亮度采用了梯度保持的方法。实验结果表明

该方法能更有效地校正RAW格式图像和处理后图像的颜色和亮度

并尽量保持不饱和区域的图像信息。

Abstract

A correction method for saturation images in YC

color space is proposed to solve the problem of chrominance distortion and details lost caused by image saturation. Neighborhood's chrominances are used to correct the saturated pixel

and the unsaturated channel information of the pixel is used as a reference. The calibration point is located on the extension line of the original saturated straight

and has the shortest distance between the extension line and the line formed from weighted average of its neighborhood's chrominances

when 1-channel saturated pixels are corrected. Since the correction is performed in the YC

three-dimensional color space

the luminance of the corrected pixels can be fixed

simultaneously. The chrominance of the saturated pixel is restored by the correlation of neighborhood chrominance

and the luminance of the saturated pixel is restored by computing original values of unsaturated channels

when 2-channel saturated pixels are corrected. The neighborhood recovery method is used to the chrominance of the saturated pixels

and the gradient maintenance procedure is employed to the luminance of the saturated pixels

when 3-channel saturated pixels are corrected. Experimental results show that the method is more effective in correcting chrominance and luminance of both RAW images and processed images

and maintains the image information of the unsaturated area as much as possible.

关键词

Keywords

references

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