Image Processing Using DCT And Wavelet

Siti Aisyah, Anas (2010) Image Processing Using DCT And Wavelet. PhD thesis, Universiti Kebangsaan Malaysia.

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Abstract

The Discrete Cosine Transform (DCT) is used as a method to alter signal into simple frequency components. It is commonly used to compress an image. The DCT will attempt to detach those images into parts of distinct frequencies. Throughout a step called quantization at which compression actually occurs, the insignificant frequencies will be rejected. Only particular frequencies which are important will reside and it can be used to fetch the image in the decompression process. It is partially related to the discrete Fourier transform at which point it can convert a signal or image against spatial domain to frequency domain. Wavelet transform on the other hand is a various resolution transforms which permit a structure of time-frequency examination. It accommodates continuous encoding of the image at different scales that is more responsive. The wavelets comprise a normalized set of orthogonal functions on which the image is projected. The aim of this project is to compare the performance of the DCT and the wavelet transform in image processing. Commonly, images contain some load of excessive data which have the possibility to be abolished when the image is saved and displaced when it is reconstructed, but this does not result in high compression. Luckily, human view does not affected by this wide change of information loss. There is a possibility for an image to be changed in numerous ways that is not visible by the human eye or lead to reduction of image quality. Compression of an image allows the number of bits to be reduced to represent the coded image which contains a number that is smaller than the original format. This number is variable and it depends on how the image is compressed. Different types of wavelets and different stages of DCT compression ratio is determine to accomplish the converted test image. Evaluation ofthe results must be done including the amount of errors introduced during the compression process.

Item Type: Thesis (PhD)
Uncontrolled Keywords: Wavelets (Mathematics), Signal processing -- Mathematics, Image processing -- Mathematics
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Disertasi > FKEKK
Depositing User: Nor Aini Md. Jali
Date Deposited: 25 Jul 2014 11:30
Last Modified: 28 May 2015 04:27
URI: http://eprints.utem.edu.my/id/eprint/12796
Statistic Details: View Download Statistic

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