A Novel Image Reconstruction Using Second Generation Wavelets

Verma, Rohit; Mahrishi, Ruchika; Srivastava, Gaurav; Siddavatam, Rajesh

doi:10.1109/artcom.2009.59

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Cited by 4 publications

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“…Evaluation index of algorithm performance The information entropy of the image (H), average gradient ( G ) and peak signal to noise ratio (PSNR) are used to objectively evaluate the algorithm [10] , they are defined as follows:…”

Section: 2mentioning

confidence: 99%

A Detail Enhancement Algorithm of Infrared Images Based on Second-generation Wavelet Cumulative Probability

Wang¹,

Zhang²

2017

dteees

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Aiming at the drawbacks of poor contrast, fuzzy edge and insufficient texture information widely existing in infrared images, a detail enhancement method of infrared images based on second-generation wavelet cumulative probability is proposed. Firstly, the algorithm decomposes infrared images for the second-generation wavelet mono-layer, and the cumulative probability distribution function is used to calculate the detail histogram equalization of the infrared images, then the histogram equalization is processed respectively. The comparison of several algorithms shows that the proposed method is outstanding in image detail in the digital detail enhancement of infrared image, and the noise suppression effect is good.

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Section: 2mentioning

confidence: 99%