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True Color Image Compression and Decompression Using Fusion of Three-Level Discrete Wavelet Transform—Discrete Cosine Transforms and Arithmetic Coding Technique

  • Trupti BaraskarEmail author
  • Vijay R. Mankar
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

In this research paper, we have done the implementation and analysis of true color image compression and decompression technique. The implemented paper divides the color image into RGB component then after applying three-level Discrete Wavelet Transform, RGB components are split into nine higher frequency sub-bands and one lower order sub-band. The lower frequency sub-band is compressed into T-Matrix using One Dimension Discrete Cosine Transform. At the same time, higher frequency sub-bands are compressed using scalar quantize and eliminate zero and store data algorithm are applied to remove zeros in sub-band matrixes. Last, the encoded mode adopted arithmetic encoding. This algorithm has use two level of quantization this show significance improve in performance of compression algorithm. The decompression process is reverse process of encoder. The decompression algorithm decoded high-frequency subbands using return zero matrix algorithm and recover low-frequency sub-bands and other sub-bands using applying inverse process.

Keywords

Discrete wavelet transform Discrete cosine transform T-Matrix coding Eliminate zero and store Data Return zero matrix algorithm 

Notes

Acknowledgements

Authors thank Dr. S. V. Dudal, HOD, Department of Applied Electronics, SGBA University, Amravati and Maharashtra, India for providing all kind of facilities and support.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Electronic EngineeringSGBAUAmravatiIndia
  2. 2.Department of Electronics EngineeringGovernment PolytechnicAmravatiIndia

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