標題: IMAGE REQUANTIZATION BY CARDINALITY DISTRIBUTION
作者: HSUEH, YC
CHERN, MG
CHU, CH
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
公開日期: 1991
摘要: This article presents a new approach to image requantization, called cardinality distribution. The new method introduces dithering patterns as ordered dither does; however, it provides a smoothing parameter p between 0 and 1. When p is chosen to be near 0.5, the new method can capture very sharp details of images. Therefore, the major deficiency of ordered dither can be avoided. Moreover, the reordering technique and its modified version are used to code bilevel and higher gray-level requantized images, respectively.
URI: http://hdl.handle.net/11536/3912
ISSN: 0097-8493
期刊: COMPUTERS & GRAPHICS
Volume: 15
Issue: 3
起始頁: 397
結束頁: 405
Appears in Collections:Articles