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Estimation of Hybrid Image Compression Algorithms for Underwater Images

R. Pandian *, S. Lalitha Kumari **, R. Raja Kumar***, D. N. S. Ravikumar****

*-** Associate Professor, Department of Electronics and Instrumentation Engineering, Sathyabama Institute of Science and Technology,Chennai, Tamil Nadu, India.

*** Professor, Department of Mathematics, Sathyabama Institute of Science and Technology, Chennai, TamilNadu, India.

**** Assistant Professor, Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai,Tamil Nadu,India.

Periodicity:October - December'2018
DOI : https://doi.org/10.26634/jip.5.4.15209

Abstract

Image compression techniques find a wide role in the field of underwater image processing. The wavelet based image compression algorithm performance mainly depends on the encoding methods adopted. In this work, symlet wavelet and hybrid encoding techniques such as Set Partitioning Hierarchy Tree and Huffman encoding are applied on an underwater image and the performance is estimated by compression ratio and PSNR. The results clearly indicate that hybrid encoding performed well. In order to assess its value, PSNR and CR are calculated. The best compression algorithm is chosen based on a compromise between PSNR and CR. The underwater images are compressed in this work.

Keywords

Symlet Wavelet, Hybrid Encoding, PSNR, Underwater Image.

How to Cite this Article?

Pandian, R., Kumari, S. L., Kumar, R. R., & Ravikumar, D. N. S.(2018). Estimation of Hybrid Image Compression Algorithms for Underwater Images. i-manager's Journal on Image Processing, 5(4), 34-38. https://doi.org/10.26634/jip.5.4.15209

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