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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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