Please use this identifier to cite or link to this item: http://hdl.handle.net/1/228
Title: Image Compression Using an Efficient Hybrid Algorithm
Authors: Sharma, Sandhya
Bhat, Urvashi
Keywords: Image compression
hybrid
quantization
DWT
DCT
CR
PSNR
MSE
Huffman encoding
medical image
Issue Date: 3-Jun-2013
Publisher: Chitkara University
Abstract: This research paper proposes a method for the compression of medical images using an efficient hybrid algorithm. The objective of this hybrid (DWT,DCT and Huffman quantization) scheme is to calculate the compression ratio, peak signal to noise ratio and mean square error by changing the DWT level and Huffman quantization factor. The goal is to achieve higher compression ratio by applying different compression thresholds for the wavelet coefficient of each DWT band and then DCT with varying Huffman quantization factor while preserving the quality of reconstructed image. First DWT and DCT is applied on individual components RGB. After applying this image is quantized using Huffman quantization to calculate probability index for each unique quantity so as to find out the unique binary code for each unique symbol for their encoding.
URI: http://dspace.chitkara.edu.in/xmlui/handle/1/228
http://hdl.handle.net/1/228
ISSN: Print : 2321-3906
Online : 2321-7146
Appears in Collections:JOTITT Volume 1 Number 1 (June - 2013)

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