Enhancement Of Low Contrast Images Using Fuzzy Inference System
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 2 Issue 5, May 2013

Enhancement Of Low Contrast Images Using Fuzzy Inference System

Jaspreet Singh Rajal

Image enhancement is a technique to improve the quality of an image. The aim of image enhancement technique is to improve the interpretability or perception of information in images for human viewers, or to provide better input for other automated image processing techniques. This paper presents a fuzzy grayscale enhancement technique for low contrast image corrupted by Gaussian noise. The degradation of the low contrast image is mainly caused by the inadequate lighting during image capturing and thus eventually resulted in non uniform illumination in the image. The proposed method has better performance than available methods in the enhancement of noisy images and has been validated by the performance measures like PSNR, SNR, RMSE, and MSE

Keywords: Fuzzy Inference System, Image enhancement, Gaussian Noise, PSNR, MSE, Visual quality

Edition: Volume 2 Issue 5, May 2013

Pages: 138 - 143

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How to Cite this Article?

Jaspreet Singh Rajal, "Enhancement Of Low Contrast Images Using Fuzzy Inference System", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=IJSRON2013985, Volume 2 Issue 5, May 2013, 138 - 143

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