Histogram Alternation Based Digital Image Compression using Base-2 Coding

The intention of data compression is to promote the storage and delivery of big images with excellent compression ratio and least distortion. Moreover, the number of internet user is growing day by day speedily. Therefore, the transfer of data is being another significant concern. The storage and th...

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Published in:2018 Digital Image Computing Techniques and Applications (DICTA) pp. 1 - 8
Main Authors: Rahman, Md. Atiqur, Islam, Syed Mohammed Shamsul, Shin, Jungpil, Islam, Md. Rashedul
Format: Conference Proceeding
Language:English
Japanese
Published: IEEE 01.12.2018
Subjects:
Arithmetic Coding
average code length
Base-2 Coding
Compression ratio
Huffman Coding
Lossless compression
Lossy compression
PSNR
Shannon's theorem
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Abstract The intention of data compression is to promote the storage and delivery of big images with excellent compression ratio and least distortion. Moreover, the number of internet user is growing day by day speedily. Therefore, the transfer of data is being another significant concern. The storage and the use of an uncompressed picture are very costly and time-consuming. There are many techniques such as Arithmetic coding, Run-length coding, Huffman coding, Shannon-Fano coding used to compress an image. Compression of a picture using the state-of-the-art techniques has a high impact. However, The compression ratio and transfer speed do not satisfy the current demand. This article proposes a new histogram alternation based lossy image compression using Base-2 coding. It increases the probabilities of an image by doing a little bit of change to its pixels level which helps to reduce code-word. This algorithm uses less storage space and works at high-speed to encode and decode an image. Average code length, compression ratio, mean square error and pick signal to noise ratio are used to estimate this method. The proposed method demonstrates better performance than the state-of-the-art techniques.
AbstractList The intention of data compression is to promote the storage and delivery of big images with excellent compression ratio and least distortion. Moreover, the number of internet user is growing day by day speedily. Therefore, the transfer of data is being another significant concern. The storage and the use of an uncompressed picture are very costly and time-consuming. There are many techniques such as Arithmetic coding, Run-length coding, Huffman coding, Shannon-Fano coding used to compress an image. Compression of a picture using the state-of-the-art techniques has a high impact. However, The compression ratio and transfer speed do not satisfy the current demand. This article proposes a new histogram alternation based lossy image compression using Base-2 coding. It increases the probabilities of an image by doing a little bit of change to its pixels level which helps to reduce code-word. This algorithm uses less storage space and works at high-speed to encode and decode an image. Average code length, compression ratio, mean square error and pick signal to noise ratio are used to estimate this method. The proposed method demonstrates better performance than the state-of-the-art techniques.
Author Islam, Syed Mohammed Shamsul
Shin, Jungpil
Islam, Md. Rashedul
Rahman, Md. Atiqur
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  organization: Computer Science and Engineering, Bangladesh University of Business & Technology, Dhaka, Bangladesh
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  givenname: Syed Mohammed Shamsul
  surname: Islam
  fullname: Islam, Syed Mohammed Shamsul
  organization: Department of Computer Science, Edith Cowan University, Perth, Western Australia
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  givenname: Jungpil
  surname: Shin
  fullname: Shin, Jungpil
  organization: Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu City, Fukushima, Japan
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  givenname: Md. Rashedul
  surname: Islam
  fullname: Islam, Md. Rashedul
  organization: Computer Science and Engineering, University of Asia Pacific, Dhaka, Bangladesh
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Snippet The intention of data compression is to promote the storage and delivery of big images with excellent compression ratio and least distortion. Moreover, the...
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SubjectTerms Arithmetic Coding
average code length
Base-2 Coding
Compression ratio
Huffman Coding
Lossless compression
Lossy compression
PSNR
Shannon's theorem
Title Histogram Alternation Based Digital Image Compression using Base-2 Coding
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