Image compression using adaptive discrete wavelet transforms on image seams

Date of Publication

2009

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Electronics and Communications Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Edwin Sybingco

Defense Panel Chair

Enrique M. Manzano

Defense Panel Member

Leonard U. Ambata
Rodrigo S. Jamisola, Jr.

Abstract/Summary

The discrete wavelet transform (DWT) is a flexible tool in signal processing. Its use for image processing and particularly the matter of lossless and lossy compression have been recognized in various studies. However, the ability of DWT to effectively represent image data is limited to smooth image regions. Discontinuities in the form of edges are expensive to code. We investigate the use of an adaptive transform to reduce the occurrences of large wavelet coefficients. A direction selection algorithm is introduced to subdivide the image into discrete blocks with each block assigned to an arbitrary direction. Transforms occurring between blocks are adapted to the direction of the concerned pixels to prevent boundary distortions. To encode the coefficients to a bitstream, a data clustering variant of SPIHT is also introduced with the intention of lowering quantization errors for low bitrates. Preliminary test results based on PSNR and SSIM comparisons show a comparable performance to JPEG2000 even without the use of an entropy encoder.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU14867

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

xviii, 275 leaves : ill. (some col.) ; 28 cm.

Keywords

Image compression; Wavelets (Mathematics); Image processing--Mathematics

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