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Proceedings Paper

Pixel- and compressed-domain color matching techniques for video mosaic applications
Author(s): Ming-Sui Lee; Meiyin Shen; Chung-Chieh Jay Kuo
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Paper Abstract

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.

Paper Details

Date Published: 18 January 2004
PDF: 9 pages
Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); doi: 10.1117/12.528478
Show Author Affiliations
Ming-Sui Lee, Univ. of Southern California (United States)
Meiyin Shen, Univ. of Southern California (United States)
Chung-Chieh Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 5308:
Visual Communications and Image Processing 2004
Sethuraman Panchanathan; Bhaskaran Vasudev, Editor(s)

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