A comparison study of image coding algorithms

العناوين الأخرى

دراسة مقارنة لخوارزميات ترميز الصور

مقدم أطروحة جامعية

Karim, Inas Hammudi

مشرف أطروحة جامعية

Abd al-Munim, Mathil Imad al-Din

الجامعة

الجامعة التكنولوجية

الكلية

-

القسم الأكاديمي

قسم العلوم التطبيقية

دولة الجامعة

العراق

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2006

الملخص الإنجليزي

Image processing can be considered as an essential part of wide range computer application.

In the last decade, the wavelet transform has diffused in most digital signal processing applications, where it plays a very important role in image processing analysis.

This thesis deals with image coding.

Image coding using Huffman or run length code does not use transform.

Moreover image coding using threshold or zonal code is using transforms to code images.

Two types of transforms Discrete Cosine Transform (DCT) or Discrete Wavelet Transform (DWT) have been used after segmenting the image into blocks, and then Zonal coding algorithm or threshold coding algorithm is used to get the coded image.

As result the (DWT) gives better results than (DCT), where the Mean Square Error (MSE) in DWT is less than the MSE in DCT, which gives us a conclusion that using wavelet transform is better than other transforms when it is used for image coding.

Also, the threshold coding gives better results compared with zonal coding.

The performance of proposed methods has been evaluated by computer simulations using MATLAB 7.0 language and performed on personal computer Pentium_4 with 2.4 GHZ processor, 40 GB hard disc and 256MB main memory.

التخصصات الرئيسية

الرياضيات

عدد الصفحات

61

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-748138