Fast adaptive contrast enhancement method for the display of gray-tone images

Naoki Kobayashi, Hideo Saito, Masato Nakajima

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


The adaptive histogram equalization method [1-3] is a conventional general contrast enhancement method using local information of an image, and is effective for natural images in which local information is important. However, this method requires considerable computation time, since a mapping curve (a gray-level conversion curve using a histogram) has to be obtained for each pixel of an image. To solve this problem, this paper proposes a new contrast enhancement method for a gray-tone image. In this method, several mapping curves are prepared before an operation, and a suitable curve selected from them is applied to each region according to its mean gray-level. This produces an image with almost the same quality as that obtained by a conventional method, taking far less time. The effectiveness of the proposed method is confirmed by computer simulations using a natural image.

Original languageEnglish
Pages (from-to)87-94
Number of pages8
JournalSystems and Computers in Japan
Issue number13
Publication statusPublished - 1994 Nov 1

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Hardware and Architecture
  • Computational Theory and Mathematics


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