Study of Enhancement Technology of Color Image Based on Adaptation and Nonlinear

Abstract:

Loss of image features are leaded by Regions with too bright or too dark of image with noise. An adaptive and nonlinear algorithm for color image enhancement is proposed in the paper. which consists of five stages: Converting color images to grayscale images; Threshold value is ascertained by HVS and position of noise is ascertained by method of Sliding Window; According to local characteristic of position of noise, median filtering is executed by weighted template; The following thing is that image is separated into apart; At last image is adaptively enhanced according to idea of Retinex and color of image is reverted. Experiments show that ability of de-noising can be effectively improved by the algorithm and contrast of image can be improved.

• Periodical: Advanced Materials Research (Volume 267)
• Pages: 234-240
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.267.234
• Online since: June 2011
• Authors: Tai Le Peng, You Dong Ding, Chang Jie Zhu
• Keywords: Adaptive Enhancement, Adaptive Object Segmentation, Neighborhood Information, Sliding Window

References

[1] LIU Guo-jun, TANG Xiang-long, HUANG Jian-hua, LIU Jia-feng. An Image Contrast Enhancement Approach Based On Fuzzy Wavelet[J]. ACTA ELECTRONICA SINICA, 2005, 33(4): 643-646.

DOI: 10.1109/icmlc.2004.1384597

[2] WANG Shou-jue, DING Xing-hao, LIAO Ying-hao, GUO Dong-hui. A Novel Bio-inspired Algorithm for Color Image Enhancement[J]. ACTA ELECTRONICA SINICA, 2008, 36(10): 1970-(1973).

[3] Kokkeong T, Oakley J P. Enhancement of color images in poor visibility conditions [C]/International Conference on Image Processing. Vancouver, BC: Canada: IEEE, 2000: 788-791.

DOI: 10.1109/icip.2000.899827

[4] Xia Siyu, Li Jiuxian, Xia Liangzheng. Improved Color Image Enhancement Algorithm Based on Color Constancy[J]. Journal of Nanjing University of Aeronauties&Astronauties, 2006, 38(suppl): 54-57.

[5] HUANG Kai-qi, WANG Qiao, WU Zhen-Yang, Multi-Scale Color Image Enhancement Algorithm Based on Color Space and Human Visual System(HVS)[J]. ACTA ELECTRONICA SINICA, 2004, 32(4): 673-676.

[6] Kimmel R, Elad M, Shaked D. A variational framework for Retinex[J]. International Journal of Computer Vision, 2003, 52(1): 7-23.

[7] Funt B, Ciurea F, Mccann J. Retinex in MATLAB [J] . Journal of Electionic Imaging, 2004, l3(1) : 48-57.

[8] XU Caijun, WANG Hua, WANGJianglin, CE Linlin. Directionally Dependent Adaptive SIGMA Median Filter[J]. Geomatics and Information Science of Wuhan University, 2005, 30 (10): 28-31.

[9] Pan Meisen, Yi Ming. An Adaptive Mean Filter Algorithm Based on HVS[J]. Computer Engineering and Applications, 2006, 42(10): 62-83.

[10] JIANG Xing-fang, WANG Ge, SHEN Wei-min. A method of color image enhancement using color advanced retinex [J]. Journal of Optoelectronics. Laser, 2008, 19(10): 1402-1404.

[11] JIANG Ju-lang, ZHANG You-sheng, XUE Feng, HU Min. Local Histogram Equalization with Brightness Preservation[J]. Acta Electronica Sinica, 2006，34(5): 861-866.

[12] S D Chen, A R Ram1i. Contrast enhanenment using recursive mean-separate histogram equalization for scalable brightness preservation[J]. IEEE Transactions on Consrnmcr Electronics, 2003, 49(4): 1301-1309.

DOI: 10.1109/tce.2003.1261233

[13] LEI Chao-yang, LIAO Hai-zhou, ZHOU Xun-bin. Remove Noises Based on a New Filter Method[J]. Microelectronics & Computer, 2009, 26(1): 162-165.

[14] Jobson D J, Rahman ZU, Woodell G A. The statistics of visual representation[C]/Proceedings of SPIE Visual Information Proceeding XI Washington: SPIE Press, 2002: 25-35.

DOI: 10.1117/12.477589