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Volume: 20 | Article ID: art00003
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Improved Video Compression using Perceptual Modeling
  DOI :  10.2352/CIC.2012.20.1.art00003  Published OnlineJanuary 2012
Abstract

In this paper we investigate a method for selectively modifying a video stream using a color contrast sensitivity model based on the human visual system. The model identifies regions of high variance with frame to frame differences that are visually imperceptible to a human observer with normal color vision. The model is based on the CIELAB and the CIE ΔE94 color difference formula, and takes advantage of the nature of frame-based progressive video coding.The method was found to achieve up to 35% improvement in data compression without perceptible degradation of the video quality. As expected, the amount of compression improvement obtained is dependent on the type of video content being compressed.

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Mark Q. Shaw, Albert Parra, Jan P. Allebach, "Improved Video Compression using Perceptual Modelingin Proc. IS&T 20th Color and Imaging Conf.,  2012,  pp 9 - 14,  https://doi.org/10.2352/CIC.2012.20.1.art00003

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