An effective local contrast enhancement technique by blending of local statistics and Genetic Algorithm

  • Authors:

  • A. Guruvareddy;K. Sri Rama Krishna;M. N. Giri Prasad

  • Affiliations:

  • Department of Electronics and Communication Engineering, Lakireddy Balireddy College Engineering, Andhra Pradesh, India;Department of Electronics and Communication Engineering, V.R. Siddhartha Engineering College, Vijayawada, India;Jawaharlal Nehru Technological University College of Engineering, Pulivendula, India

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2011

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Abstract

Nowadays, Image enhancement finds enormous image processing applications, which are related to practical situations, Contrast enhancement is one among the different image enhancement techniques that intends to improve the image visibility. Though several works for local contrast enhancement are available in the literature, the effectiveness remains an issue and the enhancement performance needs to be improved. In this paper, a local contrast enhancement technique is proposed for both gray scale images and RGB color images. The proposed technique is comprised of two stages of enhancement, namely, local statistics-based image enhancement and Genetic Algorithm based local contrast enhancement. The former stage is a pre-enhancement stage and the later is the major stage of enhancement. In the former stage, the image is processed in window basis and the local statistics of the image is obtained. Based on the local statistics, the image is enhanced. In the later stage, the window based operation is performed over the preenhanced image and the local contrast is enhanced. The Genetic Algorithm aids in searching of an optimal contrast factor, which plays vital role in the contrast enhancement. The technique is evaluated with both gray scale images as well as RGB color images and performance is compared with the existing contrast enhancement techniques.