Low-Illuminated Image Enhancement Using Power Law Transformation and Image Fusion

Author(s):  
Su-Ling Lee ◽  
Chien-Cheng Tseng
2020 ◽  
Vol 17 (5) ◽  
pp. 2405-2408 ◽  
Author(s):  
M. Sujatha ◽  
G. Srilekha ◽  
Kommula Tina ◽  
Tella Sri Tulasi ◽  
K. Harish

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.


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