How to cite this paper
Qerom, M. (2025). Improved intensity rounding and division near lossless image compression algorithm using delta encoding.International Journal of Data and Network Science, 9(1), 173-186.
Refrences
Abrardo, A., Barni, M., Bertoli, A., Grimoldi, R., Magli, E., & Vitulli, R. (2011). Low-complexity approaches for lossless and near-lossless hyperspectral image compression. Satellite Data Compression, 47-65.
Ahmadu, A. S., Garba, E. J., & Manga, I. (2021). Lossless Image Compression Schemes: A Review. Journal of Scientific Re-search and Reports, 27(6), 14-22.
Al Qerom, M., Otair, M., Meziane, F., AbdulRahman, S., & Alzubi, M. (2024). LICA-CS: Efficient Lossless Image Compres-sion Algorithm via Column Subtraction Model. Journal of Robotics and Control (JRC), 5(5), 1311-1321.
Ali, M. A., Khan, A., Javed, M. Y., & Khanum, A. (2010, October). Lossless image compression using kernel based Global Structure Transform (GST). In 2010 6th International Conference on Emerging Technologies (ICET) (pp. 170-174). IEEE.
Alqerom, M. (2020). An intelligent system for the classification and selection of novel and efficient lossless image compres-sion algorithms. University of Salford (United Kingdom).
Alshami, A. L., & Otair, M. (2018). Enhancing quality of lossy compressed images using minimum decreasing tech-nique. International Journal of Advanced Computer Science and Applications, 9(3).
Amoah, G. A., & Wahab, E. R. A. (2023). Comparative analysis of multimedia compression algorithms. Asian Journal of Mathematics and Computer Research, 30(2), 26-37.
Bai, Y., Liu, X., Wang, K., Ji, X., Wu, X., & Gao, W. (2024). Deep lossy plus residual coding for lossless and near-lossless image compression. IEEE Transactions on Pattern Analysis and Machine Intelligence.
Baidoo, P. K. (2023). Comparative analysis of the compression of text data using HUFFMAN, arithmetic, run-length, and LEMPEL ZIV WELCH coding algorithms. Journal of Advances in Mathematics and Computer Science, 38(9), 144-156.
Cao, S., Wu, C. Y., & Krähenbühl, P. (2020). Lossless image compression through super-resolution. arXiv preprint arXiv:2004.02872.
Cao, Z., Zhang, T., Liu, M., & Luo, H. (2021, January). Wavelet-supervision convolutional neural network for restoration of JPEG-LS near lossless compression image. In 2021 IEEE Asia Conference on Information Engineering (ACIE) (pp. 32-36). IEEE.
Cavallaro, G., Heras, D. B., Wu, Z., Maskey, M., Lopez, S., Gawron, P., ... & Datcu, M. (2022). High-Performance and Disrup-tive Computing in Remote Sensing: HDCRS—A new Working Group of the GRSS Earth Science Informatics Technical Committee [Technical Committees]. IEEE geoscience and remote sensing magazine, 10(2), 329-345.
Descampe, A., Richter, T., Ebrahimi, T., Foessel, S., Keinert, J., Bruylants, T., ... & Rouvroy, G. (2021). JPEG XS—A new standard for visually lossless low-latency lightweight image coding. Proceedings of the IEEE, 109(9), 1559-1577.
Dua, Y., Kumar, V., & Singh, R. S. (2020). Comprehensive review of hyperspectral image compression algorithms. Optical Engineering, 59(9), 090902-090902.
Dumka, A., Ashok, A., Verma, P., & Verma, P. (2020). Advanced digital image processing and its applications in big data. CRC Press.
EPFL. (2023). http://documents.epfl.ch/groups/g/gr/gr-eb-unit/www/IQA/Original.zip
Furong, W., Yixing, L., & Long, H. (2022, September). An Image SVD Compression Algorithm for UAV Based on Region of Interest. In International Conference on Autonomous Unmanned Systems (pp. 3270-3277). Singapore: Springer Nature Sin-gapore.
Gregory, M. (2009). The Waterloo Fractal Coding and Analysis Group. https://links.uwaterloo.ca/Repository.html
Hossain, M. B., & Rahman, M. N. J. (2023, March). An Empirical Analysis on Lossless Compression Techniques. In International Conference on Computer and Communication Engineering (pp. 158-170). Cham: Springer Nature Switzer-land.
Hu, Y., Yang, W., Ma, Z., & Liu, J. (2021). Learning end-to-end lossy image compression: A benchmark. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(8), 4194-4211.
Jabeen, S., Iqbal, K., Maqbool, M. S., & Basit, A. (2022). Predictive Coding Based Lossless Image Compression Mod-el. Machines and Algorithms, 1(3).
KaggLE. (2024) Kodak Lossless True Color Image Suite, https://www.kaggle.com/datasets/sherylmehta/kodak-dataset.
Karim, A. Z., Miah, M. S., Al Mahmud, M. A., & Rahman, M. T. (2021, September). Image Compression using Huffman Cod-ing Scheme with Partial/Piecewise Color Selection. In 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON) (pp. 1-6). IEEE.
Khan, A., Khan, A., Khan, M., & Uzair, M. (2017). Lossless image compression: application of Bi-level Burrows Wheeler Compression Algorithm (BBWCA) to 2-D data. Multimedia Tools and Applications, 76, 12391-12416.
Klen, D. (2023). Comparison of Traditional Compression Methods of Different Datasets for Cloud Storage Systems (Doctoral dissertation, University of Rijeka. Faculty of Engineering).
Koc, B., Arnavut, Z., Voronin, S., & Koçak, H. (2020, July). Near-lossless Image Compression with Parity Reduction. In 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES) (pp. 225-230). IEEE.
Liu, X., An, P., Chen, Y., & Huang, X. (2022). An improved lossless image compression algorithm based on Huffman cod-ing. Multimedia Tools and Applications, 81(4), 4781-4795.
Lungisani, B. A., Lebekwe, C. K., Zungeru, A. M., & Yahya, A. (2022). Image compression techniques in wireless sensor net-works: A survey and comparison. IEEE Access, 10, 82511-82530.
Otair, M. A., & Shehadeh, F. (2016). Research article lossy image compression by Rounding the Intensity Followed by Divid-ing (RIFD). Research Journal of Applied Sciences, Engineering and Technology, 12(6), 680-5.
Otair, M., Abualigah, L., & Qawaqzeh, M. K. (2022). Improved near-lossless technique using the Huffman coding for enhanc-ing the quality of image compression. Multimedia Tools and Applications, 81(20), 28509-28529.
Otair, M., Hasan, O. A., & Abualigah, L. (2023). The effect of using minimum decreasing technique on enhancing the quality of lossy compressed images. Multimedia Tools and Applications, 82(3), 4107-4138.
Patidar, G., Kumar, S., & Kumar, D. (2020, February). A review on medical image data compression techniques. In 2nd Inter-national Conference on Data, Engineering and Applications (IDEA) (pp. 1-6). IEEE.
Prasantha, D. H. (2020). Novel Approach for Image Compression using Modified SVD. International Journal of Creative Re-search Thoughts (IJCRT), 8(8), 2234-2243.
Rahman, M. A., & Hamada, M. (2019, October). A semi-lossless image compression procedure using a lossless mode of JPEG. In 2019 IEEE 13th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) (pp. 143-148). IEEE.
Rahman, M. A., & Hamada, M. (2021). PCBMS: a model to select an optimal lossless image compression technique. IEEE Access, 9, 167426-167433.
Rahman, M. A., Hamada, M., & Shin, J. (2021). The impact of state-of-the-art techniques for lossless still image compres-sion. Electronics, 10(3), 360.
Rossinelli, D., Fourestey, G., Schmidt, F., Busse, B., & Kurtcuoglu, V. (2020). High-throughput lossy-to-lossless 3D image compression. IEEE transactions on Medical Imaging, 40(2), 607-620.
Shalayiding, A., Arnavut, Z., Koc, B., & Kocak, H. (2020, November). Burrows-Wheeler Transformation for Medical Image Compression. In 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 0723-0727). IEEE.
Sharma, U., Sood, M., & Puthooran, E. (2020). A block adaptive near-lossless compression algorithm for medical image se-quences and diagnostic quality assessment. Journal of digital imaging, 33(2), 516-530.
Shnain, H. W., Abdullah, M. N., & Jeiad, H. A. (2020). Lossless JPEG image compression based on FPGA. Solid State Tech-nology, 63(3), 3595-3603.
Strümpler, Y., Postels, J., Yang, R., Gool, L. V., & Tombari, F. (2022, October). Implicit neural representations for image compression. In European Conference on Computer Vision (pp. 74-91). Cham: Springer Nature Switzerland.
Tan, H., Zhang, Z., Zou, X., Liao, Q., & Xia, W. (2020, September). Exploring the potential of fast delta encoding: Marching to a higher compression ratio. In 2020 IEEE International Conference on Cluster Computing (CLUSTER) (pp. 198-208). IEEE.
Thakur, A. J. (2022). Digital Imaging and Formats. In Tapping the Power of PowerPoint for Medical Posters and Presenta-tions (pp. 21-27). Singapore: Springer Nature Singapore.
Ungureanu, V. I., Negirla, P., & Korodi, A. (2024). Image-Compression Techniques: Classical and “Region-of-Interest-Based” Approaches Presented in Recent Papers. Sensors, 24(3), 791.
Uthayakumar, J., Elhoseny, M., & Shankar, K. (2020). Highly reliable and low-complexity image compression scheme using neighborhood correlation sequence algorithm in WSN. IEEE Transactions on Reliability, 69(4), 1398-1423.
Waleed, M., Um, T. W., Khan, A., & Khan, A. (2020). On the Utilization of Reversible Colour Transforms for Lossless 2-D Data Compression. Applied Sciences, 10(3), 937.
Xiao, W., Wan, N., Hong, A., & Chen, X. (2020, November). A fast JPEG image compression algorithm based on DCT. In 2020 IEEE International Conference on Smart Cloud (SmartCloud) (pp. 106-110). IEEE.
Xue, X., Marappan, R., Raju, S. K., Raghavan, R., Rajan, R., Khalaf, O. I., & Abdulsahib, G. M. (2023). Modelling and analy-sis of hybrid transformation for lossless big medical image compression. Bioengineering, 10(3), 333.
Zhang, H., Cricri, F., Tavakoli, H. R., Zou, N., Aksu, E., & Hannuksela, M. M. (2020). Lossless image compression using a multi-scale progressive statistical model. In Proceedings of the Asian Conference on Computer Vision.
Zhou, X., Qi, C. R., Zhou, Y., & Anguelov, D. (2022). Riddle: Lidar data compression with range image deep delta encoding. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 17212-17221).
Ahmadu, A. S., Garba, E. J., & Manga, I. (2021). Lossless Image Compression Schemes: A Review. Journal of Scientific Re-search and Reports, 27(6), 14-22.
Al Qerom, M., Otair, M., Meziane, F., AbdulRahman, S., & Alzubi, M. (2024). LICA-CS: Efficient Lossless Image Compres-sion Algorithm via Column Subtraction Model. Journal of Robotics and Control (JRC), 5(5), 1311-1321.
Ali, M. A., Khan, A., Javed, M. Y., & Khanum, A. (2010, October). Lossless image compression using kernel based Global Structure Transform (GST). In 2010 6th International Conference on Emerging Technologies (ICET) (pp. 170-174). IEEE.
Alqerom, M. (2020). An intelligent system for the classification and selection of novel and efficient lossless image compres-sion algorithms. University of Salford (United Kingdom).
Alshami, A. L., & Otair, M. (2018). Enhancing quality of lossy compressed images using minimum decreasing tech-nique. International Journal of Advanced Computer Science and Applications, 9(3).
Amoah, G. A., & Wahab, E. R. A. (2023). Comparative analysis of multimedia compression algorithms. Asian Journal of Mathematics and Computer Research, 30(2), 26-37.
Bai, Y., Liu, X., Wang, K., Ji, X., Wu, X., & Gao, W. (2024). Deep lossy plus residual coding for lossless and near-lossless image compression. IEEE Transactions on Pattern Analysis and Machine Intelligence.
Baidoo, P. K. (2023). Comparative analysis of the compression of text data using HUFFMAN, arithmetic, run-length, and LEMPEL ZIV WELCH coding algorithms. Journal of Advances in Mathematics and Computer Science, 38(9), 144-156.
Cao, S., Wu, C. Y., & Krähenbühl, P. (2020). Lossless image compression through super-resolution. arXiv preprint arXiv:2004.02872.
Cao, Z., Zhang, T., Liu, M., & Luo, H. (2021, January). Wavelet-supervision convolutional neural network for restoration of JPEG-LS near lossless compression image. In 2021 IEEE Asia Conference on Information Engineering (ACIE) (pp. 32-36). IEEE.
Cavallaro, G., Heras, D. B., Wu, Z., Maskey, M., Lopez, S., Gawron, P., ... & Datcu, M. (2022). High-Performance and Disrup-tive Computing in Remote Sensing: HDCRS—A new Working Group of the GRSS Earth Science Informatics Technical Committee [Technical Committees]. IEEE geoscience and remote sensing magazine, 10(2), 329-345.
Descampe, A., Richter, T., Ebrahimi, T., Foessel, S., Keinert, J., Bruylants, T., ... & Rouvroy, G. (2021). JPEG XS—A new standard for visually lossless low-latency lightweight image coding. Proceedings of the IEEE, 109(9), 1559-1577.
Dua, Y., Kumar, V., & Singh, R. S. (2020). Comprehensive review of hyperspectral image compression algorithms. Optical Engineering, 59(9), 090902-090902.
Dumka, A., Ashok, A., Verma, P., & Verma, P. (2020). Advanced digital image processing and its applications in big data. CRC Press.
EPFL. (2023). http://documents.epfl.ch/groups/g/gr/gr-eb-unit/www/IQA/Original.zip
Furong, W., Yixing, L., & Long, H. (2022, September). An Image SVD Compression Algorithm for UAV Based on Region of Interest. In International Conference on Autonomous Unmanned Systems (pp. 3270-3277). Singapore: Springer Nature Sin-gapore.
Gregory, M. (2009). The Waterloo Fractal Coding and Analysis Group. https://links.uwaterloo.ca/Repository.html
Hossain, M. B., & Rahman, M. N. J. (2023, March). An Empirical Analysis on Lossless Compression Techniques. In International Conference on Computer and Communication Engineering (pp. 158-170). Cham: Springer Nature Switzer-land.
Hu, Y., Yang, W., Ma, Z., & Liu, J. (2021). Learning end-to-end lossy image compression: A benchmark. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(8), 4194-4211.
Jabeen, S., Iqbal, K., Maqbool, M. S., & Basit, A. (2022). Predictive Coding Based Lossless Image Compression Mod-el. Machines and Algorithms, 1(3).
KaggLE. (2024) Kodak Lossless True Color Image Suite, https://www.kaggle.com/datasets/sherylmehta/kodak-dataset.
Karim, A. Z., Miah, M. S., Al Mahmud, M. A., & Rahman, M. T. (2021, September). Image Compression using Huffman Cod-ing Scheme with Partial/Piecewise Color Selection. In 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON) (pp. 1-6). IEEE.
Khan, A., Khan, A., Khan, M., & Uzair, M. (2017). Lossless image compression: application of Bi-level Burrows Wheeler Compression Algorithm (BBWCA) to 2-D data. Multimedia Tools and Applications, 76, 12391-12416.
Klen, D. (2023). Comparison of Traditional Compression Methods of Different Datasets for Cloud Storage Systems (Doctoral dissertation, University of Rijeka. Faculty of Engineering).
Koc, B., Arnavut, Z., Voronin, S., & Koçak, H. (2020, July). Near-lossless Image Compression with Parity Reduction. In 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES) (pp. 225-230). IEEE.
Liu, X., An, P., Chen, Y., & Huang, X. (2022). An improved lossless image compression algorithm based on Huffman cod-ing. Multimedia Tools and Applications, 81(4), 4781-4795.
Lungisani, B. A., Lebekwe, C. K., Zungeru, A. M., & Yahya, A. (2022). Image compression techniques in wireless sensor net-works: A survey and comparison. IEEE Access, 10, 82511-82530.
Otair, M. A., & Shehadeh, F. (2016). Research article lossy image compression by Rounding the Intensity Followed by Divid-ing (RIFD). Research Journal of Applied Sciences, Engineering and Technology, 12(6), 680-5.
Otair, M., Abualigah, L., & Qawaqzeh, M. K. (2022). Improved near-lossless technique using the Huffman coding for enhanc-ing the quality of image compression. Multimedia Tools and Applications, 81(20), 28509-28529.
Otair, M., Hasan, O. A., & Abualigah, L. (2023). The effect of using minimum decreasing technique on enhancing the quality of lossy compressed images. Multimedia Tools and Applications, 82(3), 4107-4138.
Patidar, G., Kumar, S., & Kumar, D. (2020, February). A review on medical image data compression techniques. In 2nd Inter-national Conference on Data, Engineering and Applications (IDEA) (pp. 1-6). IEEE.
Prasantha, D. H. (2020). Novel Approach for Image Compression using Modified SVD. International Journal of Creative Re-search Thoughts (IJCRT), 8(8), 2234-2243.
Rahman, M. A., & Hamada, M. (2019, October). A semi-lossless image compression procedure using a lossless mode of JPEG. In 2019 IEEE 13th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) (pp. 143-148). IEEE.
Rahman, M. A., & Hamada, M. (2021). PCBMS: a model to select an optimal lossless image compression technique. IEEE Access, 9, 167426-167433.
Rahman, M. A., Hamada, M., & Shin, J. (2021). The impact of state-of-the-art techniques for lossless still image compres-sion. Electronics, 10(3), 360.
Rossinelli, D., Fourestey, G., Schmidt, F., Busse, B., & Kurtcuoglu, V. (2020). High-throughput lossy-to-lossless 3D image compression. IEEE transactions on Medical Imaging, 40(2), 607-620.
Shalayiding, A., Arnavut, Z., Koc, B., & Kocak, H. (2020, November). Burrows-Wheeler Transformation for Medical Image Compression. In 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 0723-0727). IEEE.
Sharma, U., Sood, M., & Puthooran, E. (2020). A block adaptive near-lossless compression algorithm for medical image se-quences and diagnostic quality assessment. Journal of digital imaging, 33(2), 516-530.
Shnain, H. W., Abdullah, M. N., & Jeiad, H. A. (2020). Lossless JPEG image compression based on FPGA. Solid State Tech-nology, 63(3), 3595-3603.
Strümpler, Y., Postels, J., Yang, R., Gool, L. V., & Tombari, F. (2022, October). Implicit neural representations for image compression. In European Conference on Computer Vision (pp. 74-91). Cham: Springer Nature Switzerland.
Tan, H., Zhang, Z., Zou, X., Liao, Q., & Xia, W. (2020, September). Exploring the potential of fast delta encoding: Marching to a higher compression ratio. In 2020 IEEE International Conference on Cluster Computing (CLUSTER) (pp. 198-208). IEEE.
Thakur, A. J. (2022). Digital Imaging and Formats. In Tapping the Power of PowerPoint for Medical Posters and Presenta-tions (pp. 21-27). Singapore: Springer Nature Singapore.
Ungureanu, V. I., Negirla, P., & Korodi, A. (2024). Image-Compression Techniques: Classical and “Region-of-Interest-Based” Approaches Presented in Recent Papers. Sensors, 24(3), 791.
Uthayakumar, J., Elhoseny, M., & Shankar, K. (2020). Highly reliable and low-complexity image compression scheme using neighborhood correlation sequence algorithm in WSN. IEEE Transactions on Reliability, 69(4), 1398-1423.
Waleed, M., Um, T. W., Khan, A., & Khan, A. (2020). On the Utilization of Reversible Colour Transforms for Lossless 2-D Data Compression. Applied Sciences, 10(3), 937.
Xiao, W., Wan, N., Hong, A., & Chen, X. (2020, November). A fast JPEG image compression algorithm based on DCT. In 2020 IEEE International Conference on Smart Cloud (SmartCloud) (pp. 106-110). IEEE.
Xue, X., Marappan, R., Raju, S. K., Raghavan, R., Rajan, R., Khalaf, O. I., & Abdulsahib, G. M. (2023). Modelling and analy-sis of hybrid transformation for lossless big medical image compression. Bioengineering, 10(3), 333.
Zhang, H., Cricri, F., Tavakoli, H. R., Zou, N., Aksu, E., & Hannuksela, M. M. (2020). Lossless image compression using a multi-scale progressive statistical model. In Proceedings of the Asian Conference on Computer Vision.
Zhou, X., Qi, C. R., Zhou, Y., & Anguelov, D. (2022). Riddle: Lidar data compression with range image deep delta encoding. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 17212-17221).