Vladimir Katkovnik

Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

We propose a novel image denoising strategy based on an enhanced sparse representation in transform domain. The enhancement of the sparsity is achieved by grouping similar 2-D i...

Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images

The shape-adaptive discrete cosine transform ISA-DCT) transform can be computed on a support of arbitrary shape, but retains a computational complexity comparable to that of the...

Image denoising with block-matching and 3D filtering

We present a novel approach to still image denoising based on effective filtering in 3D transform domain by combining sliding-window transform processing with block-matching. We...

Local Approximation Techniques in Signal and Image Processing

Adaptive Window Size Image De-noising Based on Intersection of Confidence Intervals (ICI) Rule

FROM LOCAL POLYNOMIAL APPROXIMATION TO POINTWISE SHAPE-ADAPTIVE TRANSFORMS: AN EVOLUTIONARY NONPARAMETRIC REGRESSION PERSPECTIVE

In this paper we review and discuss some of the theoretical and practical aspects, the problems, and the considerations that pushed our research from the one-dimensional LPA-ICI...