Study on Image Enhancement Using Lifting and Stationary Wavelet Transforms and Contrast Limited Adaptive Histogram Equalization

Lakshmi, T. Venkata; Madhu, T.; Srikavya, K. Ch.; Kotamraju, Sarat K.

doi:10.9734/bpi/nvst/v4/4024f

Cited by 1 publication

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“…Resolution enhancement (RE) increases the number of pixels in an image. Bicubic interpolation is widely used in RE, in which the intensity value of the unknown pixel is assigned by the weighted average of the sixteen surrounding pixels [8][9][10]. Further, in recent times, it is found that the wavelet transforms (WT) [11,12] play an important role in decomposing the image into different frequency sub-bands.…”

Section: Introductionmentioning

confidence: 99%

Image resolution and contrast enhancement with optimal brightness compensation using wavelet transforms and particle swarm optimization

Tirumani

Tenneti

K³

et al. 2021

IET Image Processing

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Improving the image resolution and contrast along with uniform brightness distribution over the entire image helps to retrieve the vital realistic information necessary for human perception and interpretation. A new procedure to improve these parameters is implemented and tested. Initially, the image is super resolute using discrete wavelet transform (DWT), stationary wavelet transform (SWT) image decomposition and bicubic interpolation. The resolute image is used for contrast enhancement by using SWT and contrast limited adaptive histogram equalization (CLAHE) approach. The optimized brightness compensation technique, which uses particle swarm optimization (PSO), is applied to the resolution and contrast-enhanced image to obtain uniform brightness distribution over the entire image. The proposed approach is tested on three data sets of images and it is found that the visual results, as well as the resolution and contrast levels of the tested images, are significantly superior to subjective and objective results.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Introductionmentioning

confidence: 99%