Image Compression using an efficient hybrid algorithm

  • Sandhya Sharma Electronics and Communication Department, Chitkara University, Himachal Pradesh, India
  • Urvashi Bhat Electronics and Communication Department, Chitkara University, Himachal Pradesh, India
Keywords: Image compression, hybrid, quantization, DWT, DCT, CR, PSNR, MSE, Huffman encoding, medical image

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.

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References

Sandhya Sharma and Sarabjeet Kaur,Image Compression using hybrid of DWT, DCT and Huffman Coding in “International Journal of Science and Emerging Technologies with Latest Trends” 5(1): 19-23 (2013)

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Published
2013-06-24
How to Cite
Sandhya Sharma, & Urvashi Bhat. (2013). Image Compression using an efficient hybrid algorithm. Journal on Today’s Ideas - Tomorrow’s Technologies, 1(1), 45-50. https://doi.org/10.15415/jotitt.2013.11004
Section
Articles