Image coding by perceptual pruning with a cortical snapshot indistinguishability criterion

被引：1

作者：

Horowitz, MJ ^{[1
]}

Neuhoff, DL ^{[1
]}

机构：

[1] Univ Michigan, Dept EECS, Ann Arbor, MI 48109 USA

来源：

HUMAN VISION AND ELECTRONIC IMAGING III | 1998年 / 3299卷

关键词：

perceptual image coding; snapshot similarity measure; maximum likelihood indistinguishability criterion; matching pursuit;

D O I：

10.1117/12.320154

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We introduce an image coding algorithm in which perceptual pruning is used to select the most perceptually relevant image components. The algorithm uses a new maximum likelihood based image indistinguishability criterion that derives from a cortical snapshot, which is a model of the response of striate cortical simple cells to the image at a given point of fixation. The criterion must be satisfied at all points of fixation. We demonstrate that this method selects image components in a better way than matching pursuit and show image coding results of high subjective quality at low encoding rates.

引用

页码：330 / 339

页数：10