Color transient improvement via range detection

Gun Shik Shin; Moon Gi Kang

doi:10.1117/12.642139

16 February 2006 Color transient improvement via range detection

Gun Shik Shin, Moon Gi Kang

Proceedings Volume 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning; 60640A (2006) https://doi.org/10.1117/12.642139
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

In broadcast system, the image information is transmitted in the form of luminance and color difference signals. The color difference signals usually undergo blurs by the several reasons and result in smooth transition. It is important for the CTI algorithm not to produce color mismatch in the smooth transition as well as to make the transition sharp. In this paper, the new CTI algorithm which only needs to determine the transition range is proposed. Since the corrected signal does not rely on the high-frequency values, it does not reveal over- and undershoot near edges. To prevent the color mismatch, transition range is found on only one color difference channel. Experimental results show that our algorithm corrects blurred color edges well and is robust to the input images.

Citation Download Citation

Gun Shik Shin and Moon Gi Kang "Color transient improvement via range detection", Proc. SPIE 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 60640A (16 February 2006); https://doi.org/10.1117/12.642139

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