International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 134

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


Enhancement Of Low Contrast Images Using Fuzzy Inference System

Jaspreet Singh Rajal


Abstract: 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

Enhancement Of Low Contrast Images Using Fuzzy Inference System


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/get_abstract.php?paper_id=IJSRON2013985, Volume 2 Issue 5, May 2013, 138 - 143, #ijsrnet

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