📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 2, FEBRUARY 2017

Grayscale Image Compression using Bit Plane Slicing and Developed RLE Algorithms

Hassan K. Albahadily, V. Yu. Tsviatkou, V.K. Kanapelka

DOI: 10.17148/IJARCCE.2017.6272

Abstract: New suggested RLE compression algorithms to compress grayscale images with bitplane slicing technique to reduce the size of the encoded data by separating image into 8 binary layers, then use our modified RLE algorithms to compress bitplanes. Our modified algorithms designed perfectly to compress bitplane. The proposed methods achieved very good compression ratio especially with the MSB layer.



Keywords: image compression; bitplane; quantization.

How to Cite:

[1] Hassan K. Albahadily, V. Yu. Tsviatkou, V.K. Kanapelka, “Grayscale Image Compression using Bit Plane Slicing and Developed RLE Algorithms,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6272