The non-local means (NLM) has attracted enormous interest in image denoising problem in
recent years. In this paper, we propose an efficient joint denoising algorithm based on …

Sensor pattern noise (SPN) is an inherent fingerprint of imaging devices, which provides an
effective way for source camera identification (SCI). Although SPNs extracted from large …

Denoising is a fundamental task in image processing, aimed at estimating an unknown
image from its noisy observation. In this paper, we develop a computationally simple …

We introduce a novel approach to single image denoising based on the Blind Spot
Denoising principle which we call MAsked and SHuffled Blind Spot Denoising (MASH). We …

Free-breathing cardiac diffusion tensor imaging (DTI) is a promising but challenging
technique for the study of fiber structures of the human heart in vivo. This work proposes a …

A new denoising algorithm using Fast Guided Filter and Discrete Wavelet Transform is
proposed to remove Gaussian noise in an image. The Fast Guided Filter removes some part …

The classification of hyperspectral images (HSIs) has achieved success in applications. For
many approaches, features are directly extracted from whole spectral pixels, which can not …

Visually unpleasant compression artifacts frequently appear in block-based transform
coding, especially at low bit rates. This paper presents a new artifact reduction scheme …

In this paper, we propose a zero-mean white Gaussian noise removal method using a high-
resolution frequency analysis. It is difficult to separate an original image component from a …

To suppress random noise while preserving effective information in the edge areas of
ground penetrating radar (GPR) images, this paper proposes a novel denoising method by …