Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/2965
Title: IMPLEMENTATION AND EVALUATION OF PROGRESSIVE MEDICAL IMAGE COMPRESSION METHODS
Authors: Anumolu, Narendra kumar
Keywords: ELECTRICAL ENGINEERING;PROGRESSIVE MEDICAL IMAGE COMPRESSION METHODS;IMAGE COMPRESSION;REMOTE SENSING
Issue Date: 2012
Abstract: Image compression plays a vital role in the applications like tele-videoconferencing, remote sensing, document and medical imaging, and facsimile transmission, which depend on the efficient manipulation, storage and transmission of binary, grayscale or color images. Lossless image compression is very important for applications like medical and space science. In such situations, the compression algorithm should compress the information as much as possible, and also must be very careful to avoid discarding any information i.e. compression should be lossless, because the minor loss may result in a serious consequence. The lossless compression can be achieved by the progressive transmission of the original image. The remote user can grasp a rough image quickly without waiting for a long time to get a high quality image.. The Progressive image transmission sends the important data at the first stage, so that the user can see a lot of the image even when only a small part of the data is transmitted. At present several progressive image transmission methods are there, but each one has its own advantages and disadvantages. The most famous and simple Bit Plane Method (BPM) is implemented. And the other important spatial domain compression methods based on Quadtree coding such as Quadtree Shading Control (QSC), Quadtree Segmentation and Block Mean values (QSBM) and AMBTC-Bo are implemented and made the comparative analysis. For achieving the lossless compression the wavelet transform should be reversible, so that we can use the reversible integer-to-integer wavelet transforms which are invertible in fmite precision, map integers to integers, and approximate the linear wavelet transforms from they are derived. The multiresolution nature of the wavelet transforms aids to provide the progressive transmission of the compression methods. There are many transform domain methods for the progressive image compression. The implementation of some standard wavelet based image progressive lossy to lossless image compression techniques Set-Partitioning Embedded Block Coder (SPECK), Set Partition into Hierarchical Trees (SPIRT), and JPEG2000 is done, and made the comparative analysis between these methods. It is found that the proposed method is giving better results than SPECK, JPEG 2000 and SPIHT.
URI: http://hdl.handle.net/123456789/2965
Other Identifiers: M.Tech
Research Supervisor/ Guide: Anand, R. S.
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' THESES (Electrical Engg)

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