Compression of smart contents with classification between text and picture blocks using sub-pixel gradient information

Chulhee Lee, Kyudong Kim, Hyuk Jae Lee

Research output: Contribution to journalArticle

Abstract

This paper presents a novel algorithm to classify complex-rendered text images by examining the color levels of the adjacent sub-pixels. The proposed algorithm is different from the previous approaches in that it uses the combined characteristics of RGB sub-channels, whereas the previous approaches use independent characteristics of RGB sub-channels. Experimental results demonstrate that the proposed algorithm improves the classification accuracy over the previous best algorithm by 15.9% for complex-rendered texts. Furthermore, the compression method optimized for text sub-images significantly reduces the computational complexity without degradation in compression efficiency.

Original languageEnglish
Pages (from-to)10-18
Number of pages9
JournalDisplays
Volume55
DOIs
Publication statusPublished - 2018 Dec

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Compression of smart contents with classification between text and picture blocks using sub-pixel gradient information'. Together they form a unique fingerprint.

  • Cite this