At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …

Text present in a complex image contains various details which are employed to recognize
the conditions of the image and to nontext details. The details available in the complex …

Prevention and treatment of diseases are critical to improve grape yield and quality.
Automatic identification of grape diseases is important to prevent insect pests timely and …

Duplication of image regions is a common method for manipulating original images, using
typical software like Adobe Photoshop, 3DS MAX, etc. In this study, we propose a …

Blind people can benefit greatly from a system capable of localising and reading
comprehension text embedded in natural scenes and providing useful information that …

This correspondence proposes an efficient algorithm for removing Gaussian noise from
corrupted image by incorporating a wavelet-based trivariate shrinkage filter with a spatial …

INTRODUCTION: The quantity of audio and visual data is increasing exponentially due to
the internet's rapid growth. The digital information in images and videos could be used for …

In this paper we analyze the methods of optimal restoration of signals and images from the
degradations that are defined by the additive noise and blurring effects. The Wiener filters …

This paper proposed a new image denoising method on local Wiener filter. Firstly,
nonsubsampled shearlet transform (NSST) is used to decompose noisy image since NSST …

Quite often acquired images are noisy and filtering is a standard operation to improve image
quality." Good" filters should preserve details, edges and texture features and, at the same …