Contour simplification for segmented still image and video coding: algorithms and experimental results

作者:

Highlights:

摘要

This paper describes some new algorithms for Segmented Still Image and Image Sequence Coding. A new filter is introduced for reducing the number of contour points produced by segmentation, and also the number of bits needed to code them, leading to higher compression ratios without visible subjective degradation of the image quality. The impact of using such a contour points' reduction filter in image sequence compression is studied. The inclusion of the filter in a new video codec scheme leads to higher frame rates for almost the same subjective video quality, especially when coding complex scenes. A simple way to control the video bit-rate is also described.

论文关键词:Segmented image coding,Contour simplification,Regions classification,Shape adaptive discrete cosine transform,Weakly separable basis functions,Bit-rate control

论文评审过程:Available online 8 December 1998.

论文官网地址:https://doi.org/10.1016/S0923-5965(98)00017-4