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Image enhancement has found to be one of the most important vision applications because it has ability to enhance the visibility of images. Contrast limited adaptive histogram equalisation (CLAHE) is a good contrast enhance algorithm, but it faces over stretching and noise problems. To solve these problems, a new contrast enhancement method is implemented which is named as Contrast limited adaptive histogram equalisation (CLAHE)-discrete wavelet transform (DWT),these technique combines two methodologies DWT and CLAHE . These new method implemented in three main step: First, using DWT decomposes original image into low frequency and high frequency components. Then apply CLAHE to low-frequency coefficients and to control noise enhancement , high frequency coefficients are kept unchanged. This is due to high frequency components which have all information about the image and also contains noises of original image. Finally ,using inverse DWT reconstructed the image by taking new coefficients. To eliminate over enhancement,weighting average of reconstructed image and original image is calculated using weighting factor matrix. The weighting operation is done to control the enhancement level of region along with different luminances in original image. This is most important because bright parts of image are usually unnecessary to be enhanced in comparison with the dark parts. Hence these implementation shows that this method performs well to suppress noise and to control over enhancement. Finally the enhanced image obtained using CLAHE-DWT for checking the quality of enhanced image, Peak Signal to Noise Ratio (PSNR) ,MAE,LEI,NE is calculated and these simulations are done using MATLAB-2015.
"Contrast limited Adaptive Histogram Equalization and Discrete Wavelet Transform Method Used for Image Enhancement", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 8, page no.142 - 146, August-2017, Available :http://www.ijrti.org/papers/IJRTI1708025.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator