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Efficient Technique for Removal of Noise by Wavelet Filtering


     

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Various tone matching image is made for better image correlated to human visual perception. Generally, tone mapping can be performed in a local and/or global aspects. In this work, an innovative tone mapping framework consisting of wavelet filter and soft thresholding are proposed to reduce the noise this 4% faster than bayshrink method. It is different from most curve based global tone mapping methods that enhance the bright and dark regions. Peak Signal Noise Ratio (PSNR) value is calculated to know the enhancement quality.


Keywords

Image Denoising, Wavelet Filtering, TM Algorithm, Subband, High Dynamic Range
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  • Efficient Technique for Removal of Noise by Wavelet Filtering

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Abstract


Various tone matching image is made for better image correlated to human visual perception. Generally, tone mapping can be performed in a local and/or global aspects. In this work, an innovative tone mapping framework consisting of wavelet filter and soft thresholding are proposed to reduce the noise this 4% faster than bayshrink method. It is different from most curve based global tone mapping methods that enhance the bright and dark regions. Peak Signal Noise Ratio (PSNR) value is calculated to know the enhancement quality.


Keywords


Image Denoising, Wavelet Filtering, TM Algorithm, Subband, High Dynamic Range