You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: Image Compression: A Survey 
Chapter Title:  Reduced memory and line-based wavelet compression (LBRMBIC): 
1. Abstract of Cited Paper (BIB001):  This paper presents a contrast-based quantization strategy for use in lossy wavelet image compression that attempts to preserve visual quality at any bit rate. Based on the results of recent psychophysical experiments using near-threshold and suprathreshold wavelet subband quantization distortions presented against natural-image backgrounds, subbands are quantized such that the distortions in the reconstructed image exhibit root-mean-squared contrasts selected based on image, subband, and display characteristics and on a measure of total visual distortion so as to preserve the visual system's ability to integrate edge structure across scale space. Within a single, unified framework, the proposed contrast-based strategy yields images which are competitive in visual quality with results from current visually lossless approaches at high bit rates and which demonstrate improved visual quality over current visually lossy approaches at low bit rates. This strategy operates in the context of both nonembedded and embedded quantization, the latter of which yields a highly scalable codestream which attempts to maintain visual quality at all bit rates; a specific application of the proposed algorithm to JPEG-2000 is presented.

Literature Review:
Approach for line based wavelet transforms and it divides memory which is to be consumed in two different classes that is filtering memory and synchronization memory. Entropy coding algorithm that can merge with line based transform with very low memory consumption. It is also experimentally shown competitive performance with image coders. This algorithm is better with respect to memory usage and computations BIB001 . Dynamic contrast based quantization: Strategy for the purpose of visual quality restoration has been proposed at any bit rate. For every DWT sub band quantizer size is estimated. On the outcome of psychophysical experiments contrast are chooses applied by using threshold and sub band threshold targets constitute and against many natural image maskers of wavelet sub band quantization distortions presented BIB002 .