• 沒有找到結果。

Improving block truncation coding by line and edge information and adaptive bit plane selection for gray-scale image compression

N/A
N/A
Protected

Academic year: 2022

Share "Improving block truncation coding by line and edge information and adaptive bit plane selection for gray-scale image compression"

Copied!
1
0
0

加載中.... (立即查看全文)

全文

(1)

題名: Improving block truncation coding by line and edge information and adaptive bit plane selection for gray-scale image compression

作者: C. K. Yang;W. H. Tsai

貢獻者: Department of Information Communication

關鍵詞: Block truncation coding;Image compression;Gray-scale image;Adaptive bit plane selection

日期: 1995-01

上傳時間: 2009-11-25T02:31:05Z 出版者: Asia University

摘要: A new approach to improving block truncation coding for gray-scale image compression is proposed. A set of line and edge bit planes is defined

independently of input images and adaptively selected to yield lower bit rates and better reconstructed image quality.

參考文獻

相關文件

Hence, code for each non zero AC coefficient is composed of a basecode (corresponding to runlength/category) and a code corresponding to offset in.. Standard tables vs

In this paper, we evaluate whether adaptive penalty selection procedure proposed in Shen and Ye (2002) leads to a consistent model selector or just reduce the overfitting of

In the context of public assessment, SBA refers to assessments administered in schools and marked by the student’s own teachers. The primary rationale for SBA in ICT is to enhance

Corollary 13.3. For, if C is simple and lies in D, the function f is analytic at each point interior to and on C; so we apply the Cauchy-Goursat theorem directly. On the other hand,

Corollary 13.3. For, if C is simple and lies in D, the function f is analytic at each point interior to and on C; so we apply the Cauchy-Goursat theorem directly. On the other hand,

We will quickly discuss some examples and show both types of optimization methods are useful for linear classification.. Chih-Jen Lin (National Taiwan Univ.) 16

• Cell coverage area: expected percentage of locations within a cell where the received power at these. locations is above a

• Cell coverage area: expected percentage of locations within a cell where the received power at these. locations is above a