This paper presents a new lossy image compression technique which uses singular value
decomposition (SVD) and wavelet difference reduction (WDR). These two techniques are …

This paper establishes a review of the recent study in the field of hyperspectral (HS) image
compression approaches. Recently, image compression techniques have achieved …

Advanced microscopic techniques such as high-throughput, high-content, multispectral, and
3D imaging could include many images per experiment requiring hundreds of gigabytes …

Storing and transferring the images data are raised in recent years due to requisiteness of
transmission bandwidth for considerable storage capacity. Data compression method is …

In recent times, the medical image processing solves several clinical issues by inspecting
the visual images, which are generated in the clinical health care units. The main objective …

A Hyperspectral (HS) image provides observational powers beyond human vision capability
but represents more than 100 times the data compared to a traditional image. To transmit …

A novel coding framework using Spectral Prediction Modelling (SPM) in the latest High
Efficiency Video Coding (HEVC) framework for Hyperspectral (HS) images is proposed in …

In this paper a new block based lossy image compression technique which is using rank
reduction of the image and wavelet difference reduction (WDR) technique, is proposed …

This paper represents the wavelet techniques used for compression of gray scale and true
color images. An image compression method is applied on the EZW and WDR. These …

In this chapter, we propose a new lossy image compression technique that uses singular
value decomposition (SVD) and wavelet difference reduction (WDR) technique followed by …