Image Compression Using Morphological Wavelet Transform.

Date of Submission

December 2007

Date of Award

Winter 12-12-2008

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Electronics and Communication Sciences Unit (ECSU-Kolkata)


Chanda, Bhabatosh (ECSU-Kolkata; ISI)

Abstract (Summary of the Work)

A technique to compress an image is described here. The image compression includes transform of image, quantization and encoding. For the transform of image a multiresolution signal decomposition scheme is used, which is based on a nonlinear wavelet constructed with morphological operators. morphological dilation combined with quadratic downsampling and the Synthesis morphological erosion combined with quadratic upsampling. Quantization is done by taking a threshold value. For the encoding purpose, EZW algorithm is used which has the property that bits in the bit stream are generated in order of their importance. On the bit stream obtained further Arithmetic Encoder is aaplied.The experiments are performed on six images. A performance measure based on PSNR is used to evaluate the results.


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Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.


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