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Research Article | Open Access |

New Modified RLE Algorithms to Compress Grayscale Images with Lossy and Lossless Compression

Author 1: Hassan K. Albahadily Author 2: Alaa A. Jabbar Altaay Author 3: Viktar U. Tsviatko Author 4: Valery K. Kanapelka
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 7 · Published 2016 · Cited by 6

DOI: https://doi.org/10.14569/IJACSA.2016.070734

Abstract

New modified RLE algorithms to compress grayscale images with lossy and lossless compression, depending on the probability of repetition of pixels in the image and the pixel values to reduce the size of the encoded data by sending bit 1 instead of the original value of the pixel if the pixel’s value is repeated. The proposed algorithms achieved good reduction of encoded size as compared with other compression method that used to compare with our method and decrease encoding time by good ratio.

Keywords

How to Cite this Article

Albahadily, H. K., Altaay, A. A. J., Tsviatko, V. U., & Kanapelka, V. K. (2016). New Modified RLE Algorithms to Compress Grayscale Images with Lossy and Lossless Compression. International Journal of Advanced Computer Science and Applications, 7(7). https://doi.org/10.14569/IJACSA.2016.070734

Albahadily, Hassan K., et al.. "New Modified RLE Algorithms to Compress Grayscale Images with Lossy and Lossless Compression." International Journal of Advanced Computer Science and Applications, vol. 7, no. 7, 2016, https://doi.org/10.14569/IJACSA.2016.070734.

@article{Albahadily2016,
  title     = {New Modified RLE Algorithms to Compress Grayscale Images with Lossy and Lossless Compression},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {7},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Hassan K. Albahadily and Alaa A. Jabbar Altaay and Viktar U. Tsviatko and Valery K. Kanapelka},
  doi       = {10.14569/IJACSA.2016.070734},
  url       = {https://doi.org/10.14569/IJACSA.2016.070734}
}

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