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