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:  Remote sensing images 
1. Abstract of Cited Paper (BIB001):  A lossless compression algorithm for images based on ordered binary-decision diagrams (OBDDs) is presented. The algorithm finds an OBDD which represents the image exactly and then codes the OBDD efficiently. The results obtained show a great improvement with respect to a previous work. 
2. Abstract of Cited Paper (BIB002):  The use of the discrete wavelet transform (DWT) for embedded lossy image compression is now well established. One of the possible implementations of the DWT is the lifting scheme (LS). Because perfect reconstruction is granted by the structure of the LS, nonlinear transforms can be used, allowing efficient lossless compression as well. The integer wavelet transform (IWT) is one of them. This is an interesting alternative to the DWT because its rate-distortion performance is similar and the differences can be predicted. This topic is investigated in a theoretical framework. A model of the degradations caused by the use of the IWT instead of the DWT for lossy compression is presented. The rounding operations are modeled as additive noise. The noise are then propagated through the LS structure to measure their impact on the reconstructed pixels. This methodology is verified using simulations with random noise as input. It predicts accurately the results obtained using images compressed by the well-known EZW algorithm. Experiment are also performed to measure the difference in terms of bit rate and visual quality. This allows to a better understanding of the impact of the IWT when applied to lossy image compression.

Literature Review:
Achieve compression ratios of 10:1 compression of grayscale images. The AIW represents an approach for obtaining the inverse solution using a layered network with BP algorithm. It is able to utilize a pair of different data types, corresponding to different physical quantities BIB002 BIB001 . Fast fractal image compression using the hadamard transforms: The algorithm using the HT has been proposed to increase the speed of encoder and still good quality of images is provided for the FIC. The improvement is achieved by removing all computations which are repeated of the eight dihedral symmetries of domain blocks. In performing the HT only +,operations are included these operations are more suitable for software and hardware implementations. This new algorithm can be easily applied most of the fast algorithms such as quad tree and classification mechanisms BIB003 .