Similarity based optimization to fractal image encoding based on multithreading parallelization

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Aljanabi, M. A., Hussain, Z. M., & Lu, S. F. (2018). An Entropy-Histogram Approach for Image Similarity and Face Recognition. Mathematical Problems in Engineering. https://doi.org/10.1155/2018/9801308.

Al-Saidi, N., & Abdulaal W. (2015). An Improved Differential Box Counting Method to Estimate Fractal Di-mension. Eng. & Tech. Journal, 33(4), 714-722.

Asati, R., Raghuwanshi, M., & Singh, K. R. (2022). Fractal Image Coding-Based Image Compression Using Multithreaded Parallelization. In Information and Communication Technology for Competitive Strategies (ICTCS 2021) ICT: Applications and Social Interfaces (pp. 559-569). Singapore: Springer Nature.

Chen, D., & Singh, D. (2013). Fractal video compression in OpenCL: An evaluation of CPUs, GPUs, and FPGAs as acceleration platforms. In 2013 18th Asia and South Pacific Design Automation Conference (ASP-DAC) (pp. 297-304). IEEE.

Drakopoulos, V. (2013). Fractal-based image encoding and compression techniques. Communications-Scientificic letters of the University of Zilina, 15(3), 48-55.

Fisher, Y. (1995a). Fractal encoding of video sequences. Fractal image encoding and analysis. Trondheim: ATO Advanced Study Institute on Fractal Image Encoding and Analysis.

Fisher, Y. (1995b). Fractal Image Compression: Theory and Application. New York: SpringerVerlag.

Girouard, G., Bannari, A., El Harti, A., & Desrochers, A. (2004). Validated spectral angle mapper algorithm for geological mapping: comparative study between QuickBird and Landsat-TM. In XXth ISPRS congress, geo-imagery bridging continents, Istanbul, Turkey (pp. 12-23).

Haque, M., Kaisan, A. A., Saniat, M. R., & Rahman, A. (2014). GPU accelerated fractal image compression for medical imaging in parallel computing platform. Retrieved from https://arxiv.org/abs/1404.0774

Hore, A., & Ziou, D. (2010). Image quality metrics: PSNR vs. SSIM. In 2010 20th international conference on pattern recognition (pp. 2366-2369). IEEE.

Jacquin, E (1989). A fractal Theory of Iterated Markov Operators with Applications to Digital Image Coding. [PhD. Thesis]. Georgia Institute of Technology.

Lu, Y. (2019). The level weighted structural similarity loss: A step away from MSE. Proceedings of the AAAI Conference on Artificial Intelligence, 33(1), 9989-9990.

Mandelbrot, B. B. (1983). The fractal geometry of nature. San Francisco: Macmillan.

Palubinskas, G. (2017). Image similarity/distance measures: what is really behind MSE and SSIM?. International Journal of Image and Data Fusion, 8(1), 32-53.

Polvere, M., & Nappi, M. (2000). Speed-up in fractal image coding: comparison of methods. IEEE transactions on Image Processing, 9(6), 1002-1009.

Saad, A. M. H., & Abdullah, M. Z. (2018). High-speed fractal image compression featuring deep data pipelin-ing strategy. IEEE Access, 6, 71389-71403.

Sankar, D., & Thomas, T. (2010). Fractal features based on differential box counting method for the cate-gorization of digital mammograms. International Journal of Computer Information System and Industrial Management Applications, 2, 9-11.

Sheikh, H. R., & Bovik, A. C. (2006). Image information and visual quality. IEEE Transactions on image pro-cessing, 15(2), 430-444.

Vallejos, R., Mancilla, D., & Acosta, J. (2016). Image similarity assessment based on coefficients of spatial asso-ciation. Journal of Mathematical Imaging and Vision, 56, 77-98. https://doi.org/10.1007/s10851-016-0635-y.

Wald, L. (2000). Quality of high resolution synthesised images: Is there a simple criterion? In Third conference” Fusion of Earth data: merging point measurements, raster maps and remotely sensed images” (pp. 99-103). SEE/URISCA.

Wang, Z., & Bovik, A. C. (2002). A universal image quality index. IEEE signal processing letters, 9(3), 81-84.

Wang, Z., Simoncelli, E. P., & Bovik, A. C. (2003). Multiscale structural similarity for image quality asses-sment. In The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003, Vol. 2 (pp. 1398- 1402). IEEE.

Wohlberg, B., & Jager, G. d. (1999). A Review of the Fractal Image Coding Literature. IEEE Transactions on Image Processing, 8(12), 1716-1729. doi: 10.1109/83.806618.

Woon, W. M., Ho, A. T. S., Yu, T., Tam, S. C., Tan, S. C., & Yap, L. T. (2000). Achieving high data compression of self-similar satellite images using fractal. In IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environ-ment. Proceedings (Cat. No. 00CH37120) Vol. 2, (pp. 609-611). IEEE. doi:10.1109/IGARSS.2000.861646.