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 …

This paper describes an algorithm for texture defect detection in uniform and structured
fabrics, which has been tested on the TILDA image database. The proposed approach is …

Medical image enhancement is an essential process for superior disease diagnosis as well
as for detection of pathological lesion accurately. Computed Tomography (CT) is considered …

Denoising of images is one of the most basic tasks of image processing. It is a challenging
work to design a edge/texture-preserving image denoising scheme. Nonsubsampled …

The sparsity from self-similarity properties of natural images, which has received significant
attention in the image processing community of researchers, is widely applied for image …

Lithological classification is a pivotal aspect in the field of geology, and traditional field
surveys are inefficient and challenging in certain areas. Remote sensing technology offers …

Cliffside carving images are often affected by various types of noise, such as uneven
lighting, shadows, dust, and weathering, which impair the clarity and detail of the images …

This paper explores the possibility of incorporating log-Gabor features into nonlocal means
image denoising framework. It is found that log-Gabor features are better choice for this task …

Non-rigid multi-modal image registration plays an important role in medical image analysis.
It remains a challenging problem due to the significant intensity distortion and the non-rigid …

Multiple-clock-cycle, signal adaptive, and fully pipelined hardware design of the optimal
(Wiener) space/spatial-frequency (S/SF) filter is developed in this paper. All implementation …