Huffman Image Compression Incorporating DPCM and DWT

Article Properties
Cite
Abo-Zahhad, Mohamed, et al. “Huffman Image Compression Incorporating DPCM and DWT”. Journal of Signal and Information Processing, vol. 06, no. 02, 2015, pp. 123-35, https://doi.org/10.4236/jsip.2015.62012.
Abo-Zahhad, M., Gharieb, R. R., Ahmed, S. M., & Abd-Ellah, M. K. (2015). Huffman Image Compression Incorporating DPCM and DWT. Journal of Signal and Information Processing, 06(02), 123-135. https://doi.org/10.4236/jsip.2015.62012
Abo-Zahhad M, Gharieb RR, Ahmed SM, Abd-Ellah MK. Huffman Image Compression Incorporating DPCM and DWT. Journal of Signal and Information Processing. 2015;06(02):123-35.
Citations
Title Journal Journal Categories Citations Publication Date
Empirical Evaluation of Coding and Inter Pixel Redundancy in still Image Compression

ICST Transactions on Scalable Information Systems
  • Technology: Technology (General): Industrial engineering. Management engineering: Management information systems
  • Science: Science (General): Cybernetics: Information theory
2024
Exploitation of second-and fourth-order PDEs to improve Lossy compression of noisy images

Physica Scripta
  • Science: Physics
  • Science: Physics
2023
Versatile Approaches for Medical Image Compression: A Review Procedia Computer Science 20 2020
Comparative analysis of various Image compression techniques for Quasi Fractal lossless compression

International Journal of Computer Communication and Informatics 2020
Edge-Based and Prediction-Based Transformations for Lossless Image Compression Journal of Imaging
  • Technology: Photography
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Photography
12 2018
Citations Analysis
The category Science: Physics 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Edge-Based and Prediction-Based Transformations for Lossless Image Compression and was published in 2018. The most recent citation comes from a 2024 study titled Empirical Evaluation of Coding and Inter Pixel Redundancy in still Image Compression. This article reached its peak citation in 2020, with 2 citations. It has been cited in 5 different journals, 40% of which are open access. Among related journals, the ICST Transactions on Scalable Information Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year