18 January 2004 Pixel- and compressed-domain color matching techniques for video mosaic applications
Author Affiliations +
Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004); doi: 10.1117/12.528478
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Several color matching algorithms are proposed to merge two or more video inputs of smaller sizes into one single video output of a larger size with a wider field of view for the video mosaic application. The main challenge is to remove apparent seam lines between image boundaries. All developed algorithms share the same basic idea with different implementation details. That is, color differences between input images are first compensated using either histogram equalization or polynomial-based contrast stretching techniques. Then, a linear filtering technique is adopted to remove seam lines between image boundaries. The algorithms are developed in both the pixel and the DCT domains. The compressed-domain processing is attractive since it reduces the computational complexity. It is shown by experimental results that the color matching problem can be solved satisfactorily even in the compressed domain.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ming-Sui Lee, Meiyin Shen, Chung-Chieh Jay Kuo, "Pixel- and compressed-domain color matching techniques for video mosaic applications", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); doi: 10.1117/12.528478; https://doi.org/10.1117/12.528478



Image processing

Video compression

Algorithm development

Color difference

Image quality


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