• Mr. Harshalkumar Kishor Patel
• Mrs. J. H. Patil

General framework based on gradient histogram preservation based image denoising is discussed. In this framework, denoising is posed as an optimization problem that minimizes a cost function. Gradient histogram preservation based image denoising is an effective technique for image enhancement. However, conventional histogram equalization and Sparse Representation based denoising methods usually results in excessive contrast enhancement, which in turn gives the processed image an unnatural look and creates visual artifacts. By introducing specifically designed penalty terms, the level of image enhancement can be adjusted; noise robustness, white/black stretching and mean-brightness preservation may easily be incorporated into the optimization.

Gradient Histogram Preservation, image Denoising, Image and Texture enhancement

"Texture Enhanced Image Denoising Using Gradient Histogram Preservation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 1, page no.73-78, January-2017, Available :http://www.jetir.org/papers/JETIR1701009.pdf

"Texture Enhanced Image Denoising Using Gradient Histogram Preservation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 1, page no. pp73-78, January-2017, Available at : http://www.jetir.org/papers/JETIR1701009.pdf