JOURNAL ARTICLE

Image Enhancement Using Wavelet Based Image Fusion and Power Law Transform

M. SujathaG. SrilekhaKommula TinaTella Sri TulasiK. Harish

Year: 2020 Journal:   Journal of Computational and Theoretical Nanoscience Vol: 17 (5)Pages: 2405-2408   Publisher: American Scientific Publishers

Abstract

One of the best branches of data fusion is Image Fusion and Power law transform is having its own importance in image enhancement. The future applications will be mainly based on image brightness and image sharpness. The enhanced images provide better information than the low-quality blur images. In this paper, we acquired a solitary image which introduces better execution under a few assessment criteria’s by combining wavelet transform with power law transformation for the images at around various locales. Wavelet transform is basically utilized as a result of its natural property that is, they are repetitive and move variation. It changes image into various scales. In power law transformation one must pick the example showing up in the transform capacity with the end goal that it doesn’t corrupt the nature of the image. The empirical results are better for proposed algorithm compare with state of art algorithms.

Keywords:
Image fusion Artificial intelligence Wavelet transform Transformation (genetics) Image (mathematics) Top-hat transform Computer science Computer vision Wavelet Fusion rules Stationary wavelet transform Image enhancement Image restoration Pattern recognition (psychology) Wavelet packet decomposition Image processing Feature detection (computer vision)

Metrics

4
Cited By
0.60
FWCI (Field Weighted Citation Impact)
0
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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