This Paper Presents Algorithms for Predicting Luminance Changes in Successive Television Frames. the Changes Can Result When Objects in a TV Scene Move or When Illumination Varies. by a Gradient Search Technique, Which Seeks to Minimize a Functional of the Interframe Prediction Error, We Estimate Two Parameters Associated with These Luminance Changes—displacement and Gain. using the Estimates of These Parameters, We Also Develop, for Interframe Coding, Adaptive Predictors and a Segmentor to Determine Which Pels Need to Be Transmitted. We Describe Several Coder Variations and Compare Them by Computer Simulations using Three Substantially Different Scene Sequences. for These Sequences, Gain Compensation with Improved Segmentation Reduced the Bit Rate of a Conditional Replenishment Encoder by 50.7, 11.1, and 39.3 Percent. Displacement Compensation Reduced the Bit Rate by 61.0, 24.8, and 14.5 Percent. Combined Gain and Displacement Compensation Reduced the Bit Rate by 63.4, 32.2, and 44.6 Percent. © 1980 the Bell System Technical Journal


Electrical and Computer Engineering

International Standard Serial Number (ISSN)

1538-7305; 0005-8580

Document Type

Article - Journal

Document Version


File Type





© 2023 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Jan 1980