ANALYSIS OF TECHNIQUES FOR REDUCING MEMORY STORAGE USING SPHIT ALGORITHM

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

Image compression has been one of the predominant techniques applied in various domains of multimedia and computer applications, due to the recent advancements over vision technologies the size of the images captured are improved with higher pixel rate and quality which require a larger storage space needs. Generally image size reduction techniques are being followed to reduce the storage size among them the loss and the lossless compression techniques are being widely adapted. Lossy compressions results in the size reduction but fails to reconstruct original content, which cannot be applied in imaging systems where the accuracy of the image is a major deal. Lossless techniques are applied to reduce the storage size without losing accuracy but suffers from size reduction. To address the size reduction this work proposes an image compression technique based on set-partitioning in hierarchical trees (SPIHT), the proposed technique is applied to compress the images, which poses an effective size reductive over the existing methods.

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Keywords

SPiHT, DWT, CR, BPP, LOSSLESS