In this paper, we show that a high-level of correlation exists between a simple image feature–
mean gradient magnitude and the peak signal-to-noise ratio (PSNR) of the first just …

Information compression is essential to reduce communication cost in distributed
optimization over peer-to-peer networks. This article proposes a communication-efficient …

Since the number of acquired images and their size have the tendency to increase, their
lossy compression is widely applied for their storage, transfer, and dissemination …

This paper presents an approach for providing the desired visually lossless quality of Joint
Photographic Experts Group (JPEG) and Versatile Video Coding (VVC) compressed …

Images of different origin are used nowadays in numerous applications spreading the
tendency of world digitalization. Despite increase of memory of computers and other …

A method for prediction and providing compressed image quality for lossy compression
techniques based on discrete cosine transform (DCT) is proposed. A specific property of the …

Image compression is getting more importance for numerous applications like high
resolution cameras, computer vision devices, portable instruments, remote sensing imagers …

The dominant eigenvector of the covariance matrix of a zero-mean data distribution
describes the line wherein the variance of the projected data is maximized. In practical …

A problem of lossy image compression with providing a desired quality according to a given
quality metric is considered. Several approaches to its solving are discussed. A two-step …

JPEG is a popular image compression method widely used by individuals, data center,
cloud storage and network filesystems. However, most recent progress on image …