Medical images need to be efficiently compressed before transmission and storage, due to
the storage capacity and constrained bandwidth issues. An ideal image compression system …

Recently, deep learning-based image compression has made significant progresses, and
has achieved better rate-distortion (RD) performance than the latest traditional method, H …

This paper deals with providing the desired quality in the Better Portable Graphics (BPG)-
based lossy compression of color and three-channel remote sensing (RS) images. Quality is …

Nowadays, social networking is popular. As such, numerous social networking sites (eg,
Facebook, YouTube, Instagram) are generating very large volumes of social data rapidly …

Technological advancements in the current era of big data have led to rapid generation and
collection of very large amounts of valuable data from a wide variety of rich data sources. As …

Satellite images are often volumetric, requiring a lot of storage and transmission space and
time. In this paper, a Gated Recurrent Unit RNN based NTD method has been proposed for …

In the current era of big data, huge amounts of valuable data and information have been
generated and collected at a very rapid rate from a wide variety of rich data sources. Social …

Recently, deep learning-based image compression methods have achieved superior
performance compared to traditional methods. However, the complexity of the leading …

Abstract Better Portable Graphics (BPG), which is based on the High Efficiency Video
Coding (HEVC), outperforms many other traditional lossy compression methods in terms of …

Images have enormous use in human life in various forms-text, video, audio, and so on.
Human and computer interaction fully depends on image processing. The field of processing …