Transform based image denoising: A review
Nidhi Soni, K.G. Kirar · 2017 International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE) · 2017
The challenge to remove noise from original image still exists. Over the past two decades, different kinds of noise reduction techniques have been developed. This paper reviews the transform based denoising techniques and performs their comparative study. Here we put results of different approaches including general ridgelets and curvelets, Empirical Mode Decomposition and Empirical ridgelets and curvelets. A quantitative measure of comparisons is presented in terms of PSNR.