A hybrid image compression technique using discrete Fourier transform and discrete cosine transform

العناوين الأخرى

تقنية ضغط صور هجين باستخدام خوارزميتي DFT و DCT

مقدم أطروحة جامعية

Muhammad, Aishah Abd al-Wahid Hasan

مشرف أطروحة جامعية

al-Umari, Mahmud Ahmad

الجامعة

جامعة عمان العربية

الكلية

كلية العلوم الحاسوبية و المعلوماتية

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2018

الملخص الإنجليزي

The main aim of image compression is to decrease the size of the data required to represent an image.

Thus, reducing the required space to store the image and reducing the time required to transfer the image throughout the computer networks.

The art of designing and developing an image compression system is a compromise between image quality and compression ratio.

This research proposes a new hybrid image technique to achieve high compression ratios and at the same time saving the quality of the compressed image.

The proposed technique combines two different algorithms; the discrete Fourier transform (DFT) and the discrete cosine transform (DCT).

The proposed method consists of two stages: the DFT is first applied on the image to compress it, then in the second stage, the DCT method is applied on the resulted compressed image of the first stage to compress it once again.

The results show that the suggested hybrid image compression approach preserves the quality of the reconstructed image and achieved higher compression ratio compared to individual standalone DFT and DCT.

The experimental results of the proposed hybrid technique show that the average value of PSNR over all test images is 29.89 compared to those of DFT and DCT which are 33.07 and 32.13, respectively.

The results also show that the hybrid technique achieved 23.81 average compression ratio over all test image compared to 19.93 and 21.75 for DFT and DCT, respectively.

The hybrid technique performed better than some of the related work in terms of PSNR and compression ratio.

The results show that the proposed technique outperforms both standalone DFT and DCT in terms of compression ratio and at the same time preserves the quality of the compressed image.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

• الذكاء الاصطناعي
• الخوارزميات
• ضغط الصور

عدد الصفحات

90

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-931850