As the performance of electronic display systems continues to increase, the limitations of current signal coding methods become more and more apparent. With bit depth limitations set by industry standard interfaces, a more efficient coding system is desired to allow image quality to increase without requiring expansion of legacy infrastructure bandwidth. A good approach to this problem is to let the human visual system determine the quantization curve used to encode video signals. In this way optimal efficiency is maintained across the luminance range of interest, and the visibility of quantization artifacts is kept to a uniformly small level.

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Abstract— Archiving images of cultural heritage based on spectral imaging techniques is an active research area in imaging science. Original and reproduced art are usually viewed under quite different viewing conditions. One of the interesting differences in viewing condition is size difference. This leads to different surrounds and adaptation states. In order to investigate the effect of size in color perception of rendered images, a visual experiment was conducted using a colorimetrically characterized digital projector and LCD. An image was rendered and projected on the screen. The same image was processed using various algorithms followed by rendering for the LCD. These LCD rendered images, by definition, were considerably smaller than the projected image. Using a paired‐comparison method, the effect of image size was investigated using a colorimetric image of Georges Seurat's, “Sunday Afternoon on the Island of La Grande Jatte — 1884.” The image rendered for an LCD with a linear increase in lightness resulted in a closer match to the image projected on screen than an original colorimetrically rendered image and was perceived as a more accurate reproduction than the majority of algorithms tested.

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