Complex discrete wavelet transform based image denoising

مقدم أطروحة جامعية

Ali, Arshad Nadhom Muhammad

مشرف أطروحة جامعية

Aziz, Jabir Salman
Abd Allah, Hadil Nasrat

الجامعة

الجامعة التكنولوجية

الكلية

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القسم الأكاديمي

قسم هندسة الحاسوب

دولة الجامعة

العراق

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2010

الملخص الإنجليزي

Dual tree complex discrete wavelet transform is implemented for denoising as an important image processing application.Two wavelet trees are used, one generating the real part of the wavelet coefficients tree and the other generating the imaginary part tree.

A general computer program computing two dimensional dual tree complex wavelet transform is written using MatLab V.7.0.

for a general (NxN) two dimensional signal.

This thesis introduces firstly a proposed method of computing one and two-dimensional dual tree complex wavelet transform .The proposed method reduces heavily processing time for decomposition of image keeping or overcoming the quality of reconstructed images.

Also, the inverse procedures of all the above transform for multi- dimensional cases verified.

Secondly, many techniques are implemented for denoising of gray scale image.

A new threshold method is proposed and compared with the other thresholding methods.

For hard thresholding, PSNR gives (13.548) value while the PSNR was increased in the proposed soft thresholding, it gives (14.1734) PSNR value when the noise variance is (20) .

Some of the above denoising schemes are tested on Peppers noise image to find its effect on denoising application.

The noisy version has SNR equals to (11.9373 dB), the denoising image using WT has SNR equals to (17.4661 dB), the denoising image using SWT has SNR equals to (18.1459 dB), the denoising image using WPT has SNR equals to (19.3640 dB), the denoising image using Complex Discrete Wavelet Transform has SNR equals to (21.9138 dB).

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

• الرياضيات
• الخوارزميات
• معالجة البيانات
• الصور الرقمية

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-305288