Compression Techniques for the JPEG Image Standard by Using Image Compression Algorithm
DOI:
https://doi.org/10.29304/jqcm.2021.13.2.787Keywords:
JPEG image, compression, decompressionAbstract
Because of the raising needs for transmitting images in computer, mobile milieus, the study in the area of compressing image maximized considerably. Compressing image plays a critical part in processing digital images. The essential concept of compressing data is to decrease the data correlation. Through employing Discrete Cosine Transform (DCT), the data in time field could be transmuted into the field of frequency. Due to the reduced sensitivity of human sight in higher frequency, I is possible to compress data of the image or video by overturning its high frequency constituents nonetheless do no alteration to the eye. When pictures move like in video, the data in three-dimnsional space includes spatial plane and time axis. Hence, beside decreasing spatial correlation, time correlation is needed to be decreased. A process is presented named Motion Estimation (ME). Moreover, we can substitute the image by a Motion Vector (MV) to decrease time correlation. Thus, the improvement of effective methods for image compression becomes essential. Through the study, we similarly present JPEG standard and MPEG standard that are reputed image and video compression standard, correspondingly.
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References
[2] Daugman, J. Spatial visual channels in the Fourier plane. Vision Research, 24, 891-910. (2014).
[3] Ferrier, N. Two-dimensional circular harmonic decompositions and recognition of patterns under rotations and size changes. Unpublished master's thesis, University of Alberta, Edmonton, Alberta, Canada. (2017).
[4] Hudson, G.P. The development of photographic videotext in the UK. In Proceedings of the IEEE Global Telecommunications Conference, IEEE Communication Society. pp. 222-223. (2019).
[5] Li, X. and Lei, S. Block-based segmentation and adaptive coding for visually lossless compression of scanned documents, Proc. ICIP, VOL. III, PP. 450-453. (2015).
[6] Smith, B. C. & Rowe, L. A. “Algorithms for manipulating Compressed images, ”IEEE Trans. omput.Smith Graph. Appl., vol. 13, (2020).
[7] Wallace, G.K. Overview of the JPEG ISO/CCITT) still image compression standard. Image Processing Algorithms and Techniques. In Proceedings of the SPIE, vol. 1244, pp. 120-133. (2020).
[8] Watson, A. B. DCT quantization matrices visually optimized for individual images. Proceedings of the SPIE 1913: 202-216 (Human Vision, Visual Processing, and Digital Display IV. Rogowitz ed. SPIE. Bellingham, WA). (2018).
[9] Wilson, H., & Gelb, D. Modified line-element theory for spatial-frequency and width discrimination. Journal of the Optical S0- city of America A, 1, 124-131. (2016).
[10] Abdulelah, A., Abed Hamed, S., RASHEED, M., SHIHAB, S., RASHID, T., & Kamil Alkhazraji, M. (2021). The Application of Color Image Compression Based on Discrete Wavelet Transform. Journal of Al-Qadisiyah for Computer Science and Mathematics, 13(1), Comp Page 18 -25. https://doi.org/10.29304/jqcm.2021.13.1.762.
[11] AL-Bundi, S. S., & Abd, M. S. (2020). A Review on Fractal Image Compression Using Optimization Techniques. Journal of Al-Qadisiyah for Computer Science and Mathematics, 12(1), Comp Page 38-48. https://doi.org/10.29304/jqcm.2020.12.1.674.
[12] Al-Khafaji, G., & Fadhil, S. (2017). Image Compression based on Fixed Predictor Multiresolution Thresholding of Linear Polynomial Nearlossless Techniques. Journal of Al-Qadisiyah for Computer Science and Mathematics, 9(2), Comp Page 35 - 44. https://doi.org/10.29304/jqcm.2017.9.2.311.
[13] Ali, A., RASHEED, M., SHIHAB, S., RASHID, T., & Abed Hamed, S. (2021). A Novel Blurring and Sharpening
Techniques Using Different Images Based on Heat Equations. Journal of Al-Qadisiyah for Computer Science and
Mathematics, 13(1), Comp Page 45 -57. https://doi.org/10.29304/jqcm.2021.13.1.771.
[14[ Saadi Abdullah, A., Ali Abed, M., & Naser Ismael, A. (2019). Traffic signs recognitionusing cuckoo search
algorithm and Curvelettransform with image processing methods. Journal of Al-Qadisiyah for Computer
Science and Mathematics, 11(2), comp 74-81. https://doi.org/10.29304/jqcm.2019.11.2.591