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Enhancement of Low Contrast Images using Fuzzy Inference System
| Content Provider | CiteSeerX |
|---|---|
| Author | Rajal, Jaspreet Singh |
| Abstract | 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. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Low Contrast Image Fuzzy Inference System Image Enhancement Fuzzy Grayscale Enhancement Technique Automated Image Processing Technique Inadequate Lighting Gaussian Noise Noisy Image Human Viewer Image Enhancement Technique Image Capturing Performance Measure Non Uniform Illumination Available Method |
| Content Type | Text |
| Resource Type | Article |
