Color image denosing using 3D wavelet transform

مقدم أطروحة جامعية

Abbas, Rabab Farhan

مشرف أطروحة جامعية

Abd al-Munim, Matheel Imad al-Din

الجامعة

الجامعة التكنولوجية

الكلية

-

القسم الأكاديمي

قسم علوم الحاسوب

دولة الجامعة

العراق

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2013

الملخص الإنجليزي

This thesis aims to denoising a noisy color AVI video type, focusing on point-wise degradations, i.e., considering noise in video sequences with Additive Gaussian white noise type using 2-D and 3-D for each of Fast Discrete Wavelet Transform (FDWT) and framelet transform (DDWT) with threshold methods (Hard , Soft and Semisoft thresholds).

The framelet transform has an ability to remove some of the limitations of wavelet transform.

The given result is that 3-D FDWT has a better result than 2-D FDWT and also 3-D framelet transform is better than 2-D FDWT, 3-D FDWT and 2-D framelet transform in eliminating video noises.

Two proposed methods were applied, the first named “Mixing Sub bands and Double Wiener filter Threshold methods” (MSDWTM).

This method applied with doubly local wiener filter and named “MSDWTM Doubly local wiener filter” and then applied with one local and one global wiener filter and named “MSDWTM One local and one global wiener filter”.

The second method named “Translation-Invariant with Wiener filter” (TIW).

These methods are performed with 2-D, 3-D FDWT and 2-D, 3-D framelet transforms and it gives a better result compared with the original methods using database of color AVI videos type.

التخصصات الرئيسية

الهندسة الكهربائية

الموضوعات

• الإلكترونيات الرقمية

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-418328