Survey of Image Compression using Block Partition Technique and Its FPGA Implementation

Authors

  • Mohit Rai, Prof. Satyarth Tiwari

Keywords:

Block Partition Method, Bit Map, Multi-level, Quantization

Abstract

Image communication in web applications becomes handy because of highly developed compression tools. Human eye fixate on an image’s preview, carefully adjusting the quality and optimization settings until we’ve found that sweet spot, where the file size and quality are both the best they can possibly be method. For a long time, both academics and industry have been concentrated on the improvement of efficient image/video processing algorithms. For diverse purposes, a number of effective coding approaches have been created. For compression of continuous tone still photos, the Joint Photographic Experts Group (JPEG) was proposed. Blocking artifacts around block borders appear in reconstructed pictures due to JPEG compression, especially in highly compressed photos. The deterioration occurs as a result of the coding process failing to account for geographically neighbouring block correlation.

References

Shih-Lun Chen, He-Sheng Chou, Shih-Yao Ke, Chiung-An Chen, Tsung-Yi Chen, Mei-Ling Chan, Patricia Angela R. Abu, Liang-Hung Wang And Kuo-Chen Li, “VLSI Design Based On Block Truncation Coding For Real-Time Color Image Compression For Iot”, Pp. 01-18, MDPI 2023.

Yamagiwa, S. And Ichinomiya, Y., “Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding”, Sensors, 21, 4602, 2021.

Kenta Iida And Hitoshi Kiya, “A Content-Based Image Retrieval Scheme Using Compressible Encrypted Images”, 28th European Signal Processing Conference (EUSIPCO), IEEE 2020.

P. Jeya Bright And Dr. G. Vishnuvarthanan, “Development Of A Scalable Coding For The Encryption Of Images Using Block Truncation Code”, Proceedings Of The Third International Conference On Trends In Electronics And Informatics, IEEE 2019.

S. Guo Z. Yan K. Zhang W. Zuo And L. Zhang "Toward Convolutional Blind Denoising Of Real Photographs" Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) Pp. 1712-1722 Jun. 2019.

V. M. Kamble M. R. Parate And K. M. Bhurchandi "No Reference Noise Estimation In Digital Images Using Random Conditional Selection And Sampling Theory" Vis. Comput. Vol. 35 No. 1 Pp. 5-21 Jan. 2019.

S. B. Mohan T. A. Raghavendiran And R. Rajavel "Patch Based Fast Noise Level Estimation Using DCT And Standard Deviation" Cluster Comput. Vol. 22 No. S6 Pp. 14495-14504 Nov. 2019.

X. Yang K. Xu S. Xu And P. X. Liu "Image Noise Level Estimation For Rice Noise Based On Extended ELM Neural Network Training Algorithm" IEEE Access Vol. 7 Pp. 1943-1951 2019.

H. Tan H. Xiao S. Lai Y. Liu And M. Zhang "Pixelwise Estimation Of Signal-Dependent Image Noise Using Deep Residual Learning" Comput. Intell. Neurosci. Vol. 2019 Pp. 1-12 Sep. 2019.

Shuyuan Zhu, Zhiying He, Xiandong Meng, Jiantao Zhou and Bing Zeng, “Compression-dependent Transform Domain Downward Conversion for Block-based Image Coding”, IEEE Transactions on Image Processing, Volume: 27, Issue: 6, June 2018.

R. Chen and C. Yang "Noise level estimation for overcomplete dictionary learning based on tight asymptotic bounds" Proc. Chin. Conf. Pattern Recognit. Comput. Vis. (PRCV) pp. 257-267 2018.

Khmag A. R. Ramli S. A. R. Al-haddad and N. Kamarudin "Natural image noise level estimation based on local statistics for blind noise reduction" Vis. Comput. vol. 34 no. 4 pp. 575-587 Apr. 2018.

J. P. Kowalski G. Mikolajczak and J. Peksinski "Noise variance estimation in digital images using finite differences filter" Proc. 41st Int. Conf. Telecommun. Signal Process. (TSP) pp. 1-4 Jul. 2018.

P. Gupta C. Bampis Y. Jin and A. Bovik "Natural scene statistics for noise estimation" Proc. IEEE Southwest Symp. Image Anal. Interpretation (SSIAI) pp. 85-88 Apr. 2018.

M. Ponomarenko N. Gapon V. Voronin and K. Egiazarian "Blind estimation of white Gaussian noise variance in highly textured images" Electron. Imag. vol. 2018 no. 13 pp. 1-382 2018.

E. Turajlic "Adaptive SVD domain-based white Gaussian noise level estimation in images" IEEE Access vol. 6 pp. 72735-72747 2018.

Julio Cesar Stacchini de Souza, Tatiana Mariano Lessa Assis, and Bikash Chandra Pal, “Data Compression in Smart Distribution Systems via Singular Value Decomposition”, IEEE Transactions on Smart Grid, Vol. 8, NO. 1, January 2017.

Downloads

How to Cite

Mohit Rai, Prof. Satyarth Tiwari. (2023). Survey of Image Compression using Block Partition Technique and Its FPGA Implementation. International Journal of Research & Technology, 11(4), 90–94. Retrieved from https://ijrt.org/j/article/view/214

Similar Articles

<< < 1 2 3 4 5 6 > >> 

You may also start an advanced similarity search for this article.