Real-time advanced contrast enhancement algorithm

Tae Chan Kim, Chang Won Huh, Meejoung Kim, Bong Young Chung, Soo Won Kim

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The image quality enhancement based on digital signal processing (DSP) has been addressed as one of the crucial issues in digital display technology and market. Since real-time digital imaging should be controlled in limited speed and bits, colored motion pictures with digital display generally generate many problems such as limited operating speed of algorithm and gamut range of expressed color compared to analog cathode ray tube (CRT) display. Especially, the contrast enhancement with limited values sometimes may result in overpassing contrast limit. The changes of hue and saturation cause a damage of color nature of original image. Moreover, the abruptly changed gain during contrast enhancement causes the flickering problem as time passes. This paper introduces the image contrast enhancement algorithm named Advanced Contrast Enhancement (ACE) with adaptive and recursive method which operates at 135MHz, SXGA, keeps the color tone of original image, and prevents gain from an abrupt change. The chip with ACE algorithm will be useful not only for general imaging but also for special treatment such as medical imaging to detect problems in human body pictures such as X-ray picture, ultrasound, and CT in real-time.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsAdnan Yazici, Cevat Sener
PublisherSpringer Verlag
Pages691-698
Number of pages8
ISBN (Print)3540204091, 9783540397373
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2869
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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