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Paper
17 January 2005 Color discrimination problems in digital TV systems
Author Affiliations +
Proceedings Volume 5667, Color Imaging X: Processing, Hardcopy, and Applications; (2005) https://doi.org/10.1117/12.587512
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
As large-scale direct view TV screens such as LCD flat panels or plasma displays become more and more affordable, consumers not only expect to buy a ‘big screen’ but to also get ‘great picture quality’. To enjoy the big picture, its viewing distance is significantly reduced. Consequently, more artifacts related to digital compression techniques show above the threshold of visual detectability. The artifact that caught our attention can be noticed within uniform color patches. It presents itself as ‘color blobs’ or color pixel clustering. We analyze the artifact’s color characteristics in RGB and CIELAB color spaces and underline them by re-synthesizing an artificial color patch. To reduce the visibility of the artifact, we elaborate several linear methods, such as low pass filtering and additive white gaussian noise and verify, whether they could correct or mask the visible artifacts. From the huge list of nonlinear filter methods we analyze the effect of high frequency dithering and pixel shuffling, also based on the idea that spatial visual masking should dominate signal correction. By applying shuffling, we generate artificial high frequency components within the uniform color patch. As a result, the artifact characteristics change significantly and its visibility is strongly reduced.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fritz Lebowsky and Marina M. Nicolas "Color discrimination problems in digital TV systems", Proc. SPIE 5667, Color Imaging X: Processing, Hardcopy, and Applications, (17 January 2005); https://doi.org/10.1117/12.587512
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CITATIONS
Cited by 1 scholarly publication and 2 patents.
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KEYWORDS
Visualization

RGB color model

Visibility

Linear filtering

LCDs

Signal to noise ratio

Nonlinear filtering

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