In most practical situations, the compression or transmission of images and videos creates
distortions that will eventually be perceived by a human observer. Vice versa, image and …

A challenging problem in the no-reference quality assessment of multiply distorted
stereoscopic images (MDSIs) is to simulate the monocular and binocular visual properties …

The blind quality evaluation of screen content images (SCIs) and natural scene images
(NSIs) has become an important, yet very challenging issue. In this paper, we present an …

Designing a logo for a new brand is a lengthy and tedious back-and-forth process between
a designer and a client. In this paper we explore to what extent machine learning can solve …

No Reference (NR) Image Quality Assessment (IQA) algorithm is capable of measuring the
quality of distorted images without referencing the original images. This property is of great …

Handwriting recognition (HWR) in Indic scripts is a challenging problem due to the inherent
subtleties in the scripts, cursive nature of the handwriting and similar shape of the …

Many studies have indicated that predicting users' perception of visual quality depends on
various factors other than artifact visibility alone, such as viewing environment, social …

This paper proposes a no-reference quality assessment technique to assess the quality of
images that is degraded due to blur and noise. The technique is motivated from the fact that …

Blind/no-reference image quality assessment is performed to accurately evaluate the
perceptual quality of a distorted image without prior information from a reference image. In …

Due to the rapid development of multimedia technologies, over the last decades image
quality assessment (IQA) has become an important topic. As a consequence, a great …