Retinex Algorithm Improvement for Color Compensation in Back-Light Image Efficently (역광 이미지의 효율적인 컬러 색상 보정을 위한 Retinex 알고리즘의 성능 개선)

김영탁; Jae-Hyoung Yu (유재형); Hernsoo Hahn (한헌수)

Retinex Algorithm Improvement for Color Compensation in Back-Light Image Efficently

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2011, 16(1), pp.61-70
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

김영탁 ¹, Jae-Hyoung Yu ¹, Hernsoo Hahn ¹

¹숭실대학교

Accredited

ABSTRACT

This paper proposes a new algorithm that improve color component of compensated image using Retinex method for back-light image. A back-light image has two regions, one of the region is too bright and the other one is too dark. If an back-light image is improved contrast using Retinex method, it loses color information in the part of brightness of the image. In order to make up loss information, proposed algorithm adds color components from original image. The histogram can be divided three parts that brightness, darkness, midway using K-mean (k=3) algorithm. For the brightness, it is used color information of the original image. For the darkness, it is converted using by Retinex method. The midway region is mixed between original image and Retinex result image in the ratio of histogram. The ratio is determined by distance from dark area. The proposed algorithm was tested on nature back-light images to evaluate performance, and the experimental result shows that proposed algorithm is more robust than original Retinex algorithm.

KEYWORDS

Back-Light Image, Retinex Algorithm, k-mean Clustering

Citation status

* References for papers published after 2023 are currently being built.

[journal] L. Meylan / 2007 / Model of retinal local adaptation for the tone mapping of color filter array images / J. Opt. Soc. Am. A 24(9) : 2807~2816

[journal] 최두현 / 2006 / Color Image Enhancement Based on an Improved Image Formation Model / 전자공학회논문지 - SP / 대한전자공학회 43(6) : 65~84

[journal] C. Ke / 2005 / Adaptive Smoothing Via Contextual and Local Discontinuities / IEEE Transactions on Pattern analysis and machine intelligence 27(10) : 1552~1567

[confproc] Y. K. Park / 2007 / A New Methodology of Illumination Estimation/ Normalization for Robust Face Recognition / IEEE international Conference on image Processing

[confproc] M. C. Su / 2002 / New compensation algorithm for color backlight images / Proceedings of the 2002 International Joint Conference : 1396~1400

[report] Z. Rahman / 1997 / A Comparison of the Multiscale Retinex with Other Image Enhancement Techniques / NASA Langley

[journal] Daniel J. Jobson / 1997 / Properties and Performance of a Center/ Surround Retinex / IEEE Trans. Image Process 6(3) : 451~492

[journal] D. J. Jobson / 1997 / A Multiscale Retinex for Bridging the Gap between Color Images and The Human Observation / IEEE Trans. Image Process 6(7) : 965~976

[confproc] K. Alsabti / 1998 / An Efficient k-means Clustering Algorithm / Proc. First Workshop High Performance Data Mining

[confproc] D. H. Choi / 2007 / Color image enhancement based on single-scale retinex with a JND-based nonlinear filter / in Proc. IEEE Int. Symp. Circuits and Syst : 3948~3951

[journal] I. S. Jang / 2009 / Color Correction by Estimation of Dominant Chromaticity in Multi-Scaled Retinex / Jurnal of Imaging Science and Technology 53(5)

[journal] 강봉협 / 2007 / K-Retinex Algorithm for Fast Back-Light Compensation / 전자공학회논문지 - SP / 대한전자공학회 44(2) : 126~136

[journal] 김영탁 / 2010 / Lane detection method using Median Filter based Retinex Algorithm in Foggy Image / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 15(8) : 31~39

[journal] 김재도 / 2010 / Image-based Water Level Measurement Method Adapting to Ruler's Surface Condition / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 15(9) : 67~76

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