Explosive growth of data in digital world leads to the requirement of efficient technique to
store and transmit data. Due to limited resources, data compression (DC) techniques are …

In the consumer electronics field, the main challenge in image processing is to preserve the
original brightness. Histogram Equalization (HE) is one of the simplest and widely used …

Image deblurring is a classic problem in low-level computer vision with the aim to recover a
sharp image from a blurred input image. Advances in deep learning have led to significant …

In this paper, we propose an image quality transformer (IQT) that successfully applies a
transformer architecture to a perceptual full-reference image quality assessment (IQA) task …

Image quality assessment (IQA) algorithm aims to quantify the human perception of image
quality. Unfortunately, there is a performance drop when assessing the distortion images …

Low-dose computed tomography (CT) images suffer from noise and artifacts due to photon
starvation and electronic noise. Recently, some works have attempted to use diffusion …

This paper describes a recently created image database, TID2013, intended for evaluation
of full-reference visual quality assessment metrics. With respect to TID2008, the new …

Numerous single image blind deblurring algorithms have been proposed to restore latent
sharp images under camera motion. However, these algorithms are mainly evaluated using …