Image Compression Using Discrete Wavelet Transform
Image compression is a key technology in transmission and storage of digital images because of vast data associated with them. This research suggests a new image compression scheme with pruning proposal based on discrete wavelet transformation (DWT). The effectiveness of the algorithm has been justified over some real images, and the performance of the algorithm has been compared with other common compression standards. The algorithm has been implemented using Visual C++ and tested on a Pentium Core 2 Duo 2.1 GHz PC with 1 GB RAM. Experimental results demonstrate that the proposed technique provides sufficient high compression ratios compared to other compression techniques.
Keywords: Image compression, DWT, JPEG, GIF, PSNR, MSE, Compression ratio.
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ABOUT THE AUTHORS
Mohammad Mozammel Hoque Chowdhury
M. Mozammel Hoque Chowdhury is working as an Associate Professor in the Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh. He received his B.Sc. (Honors) degree in Electronics and Computer Science and MS degree in Computer Science and Engineering from the same university. He has published more than 25 articles in international and national journals and conference proceedings. His research interest includes: Image Processing, Computer Vision, Machine Intelligence, E-learning and E-governance.
Amina Khatun
Amina Khatun is working as a Lecturer in the Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh. She obtained her B.Sc. (Honors) in Computer Science & Engineering from Jahangirnagar University and MS degree in Computer Science from North South University, Bangladesh. Her research interest includes: Image Processing, Computer Vision, Artificial Intelligence and so on.
Mohammad Mozammel Hoque Chowdhury
M. Mozammel Hoque Chowdhury is working as an Associate Professor in the Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh. He received his B.Sc. (Honors) degree in Electronics and Computer Science and MS degree in Computer Science and Engineering from the same university. He has published more than 25 articles in international and national journals and conference proceedings. His research interest includes: Image Processing, Computer Vision, Machine Intelligence, E-learning and E-governance.
Amina Khatun
Amina Khatun is working as a Lecturer in the Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh. She obtained her B.Sc. (Honors) in Computer Science & Engineering from Jahangirnagar University and MS degree in Computer Science from North South University, Bangladesh. Her research interest includes: Image Processing, Computer Vision, Artificial Intelligence and so on.
