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논문검색

Color Image Compression Using Orthogonal Wavelet Viewed From Decomposition Level and Peak Signal to Noise Ratio

초록

영어

There have been substantially growing needs for storage space as there are more and more valuable and important stuff to be stored. The data which, originally, used to be processed manually and kept physically in the form of paper are now transformed into computerized data. However, these data keep increasing and within a certain period of time they become very large that they take more space to store. This situation causes serious problems in storing and transmitting image data. This research tries to find out the influence of wavelet to the Peak Signal to Noise Ratio (PSNR), and its level of decomposition towards the PSNR. The wavelet used are Daubechies family of Haar (Daubechies 1), Daubechies 2, Daubechies 3, Daubechies 4, Daubechies 5, and Coiflet families, as well as Symlet families. Test images used are 24-bit color image which are 512x512 in size. The wavelet which has the highest PSNR in each family is Haar, Coiflet 3, and Symlet 5. The effect of decomposition level towards PSNR is that the greater is the level of the decomposition, the smaller its PSNR becomes.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. Research Methodology
 4. Results and Discussion
  4.1.The influence of Wavelet on PSNR
  4.2. The Influence of Decomposition Level on the PSNR
 5. Conclusion
 References

저자정보

  • Albertus Joko Santoso Currently a PhD student in the Dept. Electrical Engineering and Information Technology, Faculty of Engineering, University of Gadjah Mada Yogyakarta, Indonesia, 2Department of Informatic Engineering, Faculty of Industrial Engineering University of Atma Jaya Yogyakarta, Indonesia.
  • Lukito Edi Nugroho Department of Electrical Engineering and Information Technology, Faculty of Engineering, University of Gadjah Mada Yogyakarta, Indonesia.
  • Gede Bayu Suparta Faculty of Mathematics and Science, University of Gadjah Mada Yogyakarta, Indonesia.
  • Risanuri Hidayat Department of Electrical Engineering and Information Technology, Faculty of Engineering, University of Gadjah Mada Yogyakarta, Indonesia.

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