The field of Deep Learning (DL) has seen a remarkable series of developments with
increasingly accurate and robust algorithms. However, the increase in performance has …

Multistage integration of visual information in the brain allows people to respond quickly to
most significant stimuli while preserving the ability to recognize small details in the image …

To enable fast reliable feature matching or tracking in scenes, features need to be discrete
and meaningful, and hence edge or corner features, commonly called interest points are …

Image interpolation is used in many areas of image processing. It is seen that many
techniques developed to date have been successful in both protecting edges and increasing …

Image denoising takes place as the first step in many image processing operations.
Anisotropic diffusion filters (ADFs) have remained popular for years because of their ability …

Abstract Spiking Neural Networks are the third generation of Artificial Neural Networks and
is fast gaining interest among researchers in image processing applications. The paper …

Image denoising is one of the most important steps in image processing. Anisotropic
diffusion filters (ADFs), which are quite popular, stand out with their edge preservation …

In contemporary times, content-based image retrieval (CBIR) techniques have gained
widespread acceptance as a means for end-users to discern and extract specific image …

With the recent increase in ultra-low power applications, researchers are investigating
alternative architectures that can operate on streaming input data. These target use cases …

Image retrieval is defined as indexing similar or identical images in a digital image
database. Various feature vectors obtained from the images are used while searching for a …