3D FILTERING IN IMAGES CORRUPTED BY ADDITIVE‑MULTIPLICATIVE NOISE
Novel filtering method in images that are contaminated by mixture speckle-additive noise consisting of multiplicative and additive noises is designed in this paper. Proposed method consists of several stages: 3D filtering approach based on sparse representation in DCT, homomorphic transformation, and final post-processing that uses bilateral filter and edge reconstruction. During numerous experiments, the developed method has confirmed superiority of novel approach in term of visual image quality via human perception as well as in better criteria values, such as PSNR and SSIM for different test images corrupted by complex noise.