Optimization of fractal compression of 3d images using a genetic algorithm

• Autorzy: Khanmirza Z , Ramezani F , Motameni H

Identyfikatory

DOI

10.12913/22998624/2376

• Języki publikacji: EN

Abstrakty

EN

3D image technologies are widely recognized as the next generation of visual presentation considering the achievement of more natural experiences. To produce such images, two cameras are placed in a bit different position. When we seek to compress such images, we need a procedure to compress two images synchronously. In this paper, a procedure is presented for a suitable compression based on fractal compression which shows that we obtain high compression rate with an appropriate image quality; however, since the proposed procedure has a low search speed, we used genetic algorithm to remove the case.

Słowa kluczowe

EN

stereo system; fractal compression; genetic algorithm

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2015
• Tom: Vol. 9, nr 26
• Strony: 124--128
• Opis fizyczny: Bibliogr. 6 poz., fig., tab.

Twórcy

autor

Khanmirza Z

• Sari Branch, Islamic Azad University, Sari, Iran

autor

Ramezani F

• Sari Branch, Islamic Azad University, Sari, Iran

autor

Motameni H

• Sari Branch, Islamic Azad University, Sari, Iran

Bibliografia

• 1. Ramezani F.M., Zargari A.F., Compression of 3D images using fractal structure. The First Conference of Turbulence, Fractal and Intelligent Systems.
• 2. Ben A.J., Optimization of fractal image compression with genetic algorithm.
• 3. Two-dimensional non separable adaptive lifting for still and stereo image coding. IEEE Trans. on Image Processing, 2010, 1298–1301.
• 4. Bensalma R., Larabi M.C., Stereo image coding based on binocular energy modeling. 17th International Conference on Image Processing. Hong Kong. 2010, 2989–2992.
• 5. Bensalma R., Larabi M.C., Optimizing the disparity map by the integration of HVS binocular properties for efficient coding of stereoscopic image. IEEE Trans. on Image Processing, 2010.
• 6. Ramaprabha M., Satik M.M., An analytical studyon stereo image compression using DCT and vector quantization. International Journal of Advanced Reserch in Computer Scince and Software Engineering, 2012.