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Title: Image Compression Based on Improved Spiht and Region of Interest
Authors: Kumar, Sandeep
Supervisor: Sharma, Sanjay
Issue Date: 20-Jul-2011
Abstract: A lot of hospitals handle their medical image data with computers. The use of computers and a network makes it possible to distribute the image data among the staff efficiently. X-Ray and CT produce sequence of images. The amount of data produced by these techniques is vast and this might be a problem when sending the data over a network. To overcome this problem image compression has been introduced in the field of medical. Medical image compression plays a key role as hospitals. Image compression will allow reducing the file sizes on their storage requirements while maintaining relevant diagnostic information. There have been numerous compression research studies, examining the use of compression as applied to medical images. To achieve higher degree of compression we have to choose ISPIHT and ROI compression technique. This thesis will propose an approach to improve the performance of medical image compression while satisfying medical team who need to use it. There are several types of image compressions available but in case of biomedical images the loss of diagonasability of the image is not tolerable and hence to achieve higher degree of compression without any significant loss in the diagonasability of the image. This thesis describes the hardware design flow of lifting based Forward Discrete Wavelet Transform (FDWT) processor for ISPIHT and ROI. An effective DWT algorithm has been performed on input image file to get the decomposed image coefficients. The Lifting Scheme reduces the number of operations execution steps to almost one-half of those needed with a conventional convolution approach. The DWT modules were simulated using FPGA design tools. The final design was verified with Matlab image processing tools. Comparison of simulation results Matlab was done to verify the proper functionality of the developed module. The motivation in designing the hardware modules of the DWT was to reduce its complexity, enhance its performance and to make it suitable development on a reconfigurable FPGA based platform for VLSI implementation. Distortion was evaluated for all images and compression rates by the Peak Signal-to-Noise Ratio (PSNR). For all images, PSNR and BPP performed substantially better than the traditional SPIHT and a difference in performance was found between SPIHT and ISPIHT and ROI. A comparison applying SPIHT and the ISPIHT to the same set of images and obtaining similar implementation as region-based methods. For digital images, region-based compression methods represent an improvement in compression efficiency from full-image methods, also providing the possibility of encoding multiple regions of interest (ROI) independently.
Appears in Collections:Masters Theses@ECED

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