By extracting image luminance channel and separating it into a base layer and a detail
layer, the Retinex theory has been widely adopted for tone mapping to visualize high …

Sparse representation has been widely used in the field of remote sensing image super-
resolution (SR) to restore a high-quality image from a low-resolution (LR) image, eg, from …

Digital images are more important in numerous contemporary applications, and the need for
images in the technical field is also increasing drastically. It is used to recognize signatures …

Structural information, in particular, the edges present in an image, is the most important part
to be noticed by human eyes. Therefore, it is important to denoise this information effectively …

As big data often contains a significant amount of unstructured, imprecise, and uncertain
data, the fuzzy-rough-set-based attribute reduction is a valuable technique for uncertainty …

In the past decades, image denoising has been widely studied as a basic technology for
image processing. However, most denoising methods are designed for Gaussian noise …

This paper proposes a detail-preserving image denoising method via cluster-wise
progressive principal component analysis (PCA) thresholding based on the Marchenko …

This paper proposes a new image denoising algorithm based on adaptive signal modeling
and regularization. It improves the quality of images by regularizing each image patch using …

The Smile is one of the most common facial expressions, and it serves as an indicator of the
positive emotion. Many feature extraction methods have been proposed for detecting a smile …

An efficient hybrid image denoising method based on support vector machine (SVM)
classification is designed and developed in this communication. Here, the input noisy image …