Multiscale retinex color image recovery enhancement algorithm

2009 ◽  
Author(s):  
Liu Nian ◽  
Peng Xiuyuan
Keyword(s):  
Color Image ◽  
Image Recovery ◽  
Enhancement Algorithm

Low-rank tensor completion via combined Tucker and Tensor Train for color image recovery

2021 ◽  
Author(s):  
Tianheng Zhang ◽  
Jianli Zhao ◽  
Qiuxia Sun ◽  
Bin Zhang ◽  
Jianjian Chen ◽  
...  
Keyword(s):  
Color Image ◽  
Low Rank ◽  
Image Recovery ◽  
Tensor Completion ◽  
Rank Tensor

Computationally Efficient Formulation of Sparse Color Image Recovery in the JPEG Compressed Domain

2013 ◽  
Vol 49 (1) ◽  
pp. 173-190 ◽  
Author(s):  
Camelia Florea ◽  
Mihaela Gordan ◽  
Aurel Vlaicu ◽  
Radu Orghidan
Keyword(s):  
Color Image ◽  
Image Recovery ◽  
Compressed Domain ◽  
Computationally Efficient

Wavelet Transform Adjustment Method Study in Color Image Enhancement

2014 ◽  
Vol 989-994 ◽  
pp. 3798-3801
Author(s):  
Zhi Gang Zhang ◽  
Shi Qiang Yan ◽  
Peng Geng
Keyword(s):  
Wavelet Transform ◽  
Image Enhancement ◽  
Basic Principle ◽  
Color Image ◽  
Experimental Result ◽  
Adjustment Method ◽  
Color Image Enhancement ◽  
Reflection Component ◽  
Enhancement Algorithm

In order to improve the ensemble of color image, this paper proposes homomorphism decomposition—wavelet enhancement algorithm based on the basic principle of Wavelet Transform. We separate the incidence component and reflection component of the image by homomorphism decomposition, and then combine wavelet transform to enhance image as well as reserve details. The experimental result shows that the adaption and effect is obviously superior to MSRCR.

scholarly journals The Method of Color Image Processing Using Adaptive Saturation Enhancement Algorithm

2007 ◽  
Vol 14B (3) ◽  
pp. 145-152
Author(s):  
Kyoung-Ok Yang ◽  
Jong-Ho Yun ◽  
Hwa-Hyun Cho ◽  
Myung-Ryul Choi
Keyword(s):  
Image Processing ◽  
Color Image ◽  
Color Image Processing ◽  
Enhancement Algorithm

An Improved Color Image Enhancement Algorithm Based on 3-D Color Histogram Equalization

2013 ◽  
Vol 321-324 ◽  
pp. 1133-1137
Author(s):  
Yu Ting Song ◽  
Xiu Hua Ji ◽  
Shi Lin Zhao
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Histogram Equalization ◽  
Color Images ◽  
Color Histogram ◽  
Test Results ◽  
Gray Scale ◽  
Color Image Enhancement ◽  
Equalization Algorithm ◽  
Enhancement Algorithm

This paper proposes an improved color image enhancement algorithm based on 3-D color histogram equalization algorithm. When the existed 3-D color histogram equalization algorithms in the literatures are applied in processing dim color images, the processed color images often turn pale due to the decrease of color-saturations and have false contours due to gray-scale merging phenomenon in the histogram equalization algorithm. In this paper, the proposed algorithm can make more pixels of the processed color images keep their color-saturations and reduce the gray-scale merging with Logarithmic histogram equalization algorithm. Test results with dim color images present a better effect of image enhancement.

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