Natural Image Statistics Plays An Important Role In Image Denoising, And Various Natural Image Priors, Including Gradient-based, Sparse Representation-based, And Nonlocal Self Similarity-based Ones, Have Been Widely Studied And Exploited For Noise Removal. In Spite Of The Great Success Of Many Denoising Algorithms, They Tend To Smooth The Fine Scale Image Textures When Removing Noise, Degrading The Image Visual Quality. To Address This Problem, In This Paper, We Propose A Texture Enhanced Image Denoising Method By Enforcing The Gradient Histogram Of The Denoised Image To Be Close To A Reference Gradient Histogram Of The Original Image.

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