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An Approach to Image Enhancement using Discrete Wavelet Transform


Ambesh Tiwari , RITM Lucknow; Shyam Shankar Dwivedi, RITM LUCKNOW


Image Enhancement, Contrast, Multiresolution Wavelet, Histogram Equalization


Image enhancement helps in bettering the visibility of any part or feature of the image by improving the information in visual parts or features. Several techniques offer contrast regulation as a way which proves to be a cogent tool to improve the quality of an image. So image enhancement by applying various algorithms and techniques make an image individually looks better than the original image. This research work presents a novel DWT based image enhancement technique. The approach presented in this work is simple and robust and can be used to improve the perceptual visual quality of low resolution images. The images used in implementation are standard test images of 256x256 pixel values but of low visual perceptibility. The power log transformation evaluates the threshold value from the frequency (wavelet) transformed coefficients of the input image. This threshold values is used to transform the decomposition vector obtained from the 2-d multilevel wavelet decomposition. This modified vector is then reconstructed to obtain the enhanced image pixels. At last histogram equalization method is applied to improve the visual appearance of the image. The performance the algorithm has been evaluated using a Mean Square Error and Peak Signal to noise measures. The PSNR value is close to 40 db for almost all images which shows a good improvement over previous methods.

Other Details

Paper ID: IJSRDV6I40801
Published in: Volume : 6, Issue : 4
Publication Date: 01/07/2018
Page(s): 1047-1050

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