Color Component Based Lossless Compression Method for Satellite Images (CCBLC)

  • S Sanjith Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kumarcoil, Kanyakumari District, Tamilnadu, India. Department of Computer Science, St. Alphonsa College of Arts and Science, Soosaipuram, Karinkal, Kanyakumari District, Tamilnadu – 629157, India


In recent years, the development and demand of remote sensing images are increased rapidly, however the huge volume of satellite images are contributing to inadequate bandwidth of network and storage of memory device. Therefore, the hunt of data compression methods becomes more and more significant to reduce the data redundancy to save more hardware space and transmission bandwidth. This paper introduces a new lossless compression method which reduces the size of the image by performing on blocks that have the comparable color components because the importance of the color varies from block to block depending upon the image. The similar color blocks are identified by the histogram values of each color Red, Green and Blue. A threshold value is fixed and the high order color component blocks will be removed and mentioned in a frequency table.  While using this method, we got a comparatively better compression ratio for satellite images than the existing compression methods.


Cite as:

Sanjith S. Color component based lossless compression method for satellite Images (CCBLC). Alg. J. Eng. Tech. 2021, 4:54-58.


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How to Cite
Sanjith S. Color Component Based Lossless Compression Method for Satellite Images (CCBLC). Alger. J. Eng. Technol. [Internet]. 2021Mar.8 [cited 2021Sep.27];40:54-8. Available from: