Lossless Image Compression Schemes: A Review

Abstract

Data compression refers to the process of representation of data using fewer number of bits. Data compression can be lossless or lossy. There are many schemes developed and used to perform either lossless or lossy compression. Lossless data compression allows the original data be conveniently reconstructed from the compressed data while lossy compression allow only an approximate of the original data to be constructed. The type of data to compressed can be classified as image data, textual data, audio data or even video content. Various researches are being carried out in the area of image compression. This paper presents various literatures in field of data compression and the techniques used to compress image using lossless type of compression. In conclusion, the paper reviewed some schemes used to compress an image using a single schemes or combination of two or more schemes methods.

Strange Images in Remote Sensing and Their Properties

“…It is common to divide image compression algorithms into two groups -lossy and lossless (Prasanna et al, 2021;Manga et al, 2021;Sayood, 2017). In this paper, we concentrate on lossy compression methods since they are able to provide quite large and variable compression ratio (CR) needed in many practical applications (Lukin et al;Bondzulic et al;Ortega et al, 1998).…”

Usage of different Chroma Subsampling Modes in Image Compression by BPG Coder

“…Image compression algorithms can be divided into two groups: lossy and lossless ones (Prasanna et al, 2021;Manga et al, 2021;Ponomarenko et al, 2005). The lossy compression results in a loss of data and, in lossless compression, the decompressed data are exactly the same as the corresponding original data.…”