AIRCC's International Journal of Computer Science and Information Technology

Open Access Open Access  Restricted Access Subscription Access

Squashed JPEG Image Compression Via Sparse Matrix


Affiliations
1 Department of Computer Science, King Khalid University, Abha, Saudi Arabia
 

To store and transmit digital images in least memory space and bandwidth image compression is needed. Image compression refers to the process of minimizing the image size by removing redundant data bits in a manner that quality of an image should not be degrade. Hence image compression reduces quantity of the image size without reducing its quality. In this paper it is being attempted to enhance the basic JPEG compression by reducing image size. The proposed technique is about amendment of the conventional run length coding for JPEG (Joint Photographic Experts Group) image compression by using the concept of sparse matrix. In this algorithm, the redundant data has been completely eliminated and hence leaving the quality of an image unaltered. The JPEG standard document specifies three steps: Discrete cosine transform, Quantization followed by Entropy coding. The proposed work aims at the enhancement of the third step which is Entropy coding.

Keywords

Entropy Coding, JPEG Image Compression, Compaction Using Sparse, Optimized/Reduced Run Length Coding.
User
Notifications
Font Size

  • C.Taskin and S.K. Sarikoz. : An Overview of Image Compression Approaches. Remote Sensing and GIS Data Processing and Other Applications. IEEE Conference Publications, Page(s): 174 – 179, 2008

  • A.M.Raid ,W.M.Khedr , M. A. El-dosuky and WesamAhmed. : Jpeg Image Compression Using Discrete Cosine Transform. - A Survey International Journal of Computer Science & Engineering Survey (IJCSES) Vol.5, No.2, April 2014

  • Walaa M. Abd-Elhafiez. : New Approach for Color Image Compression. International Journal of Computer Science and Telecommunications. Volume 3, Issue 4, April 2012

  • Walaa M. Abd-Elhafiez, WajebGharibi. : Color Image Compression Algorithm Based on the DCT Blocks. IJCSE Volume-4, Issue-4 , Page no. 34-38, Apr-2016

  • M.B Akhtar, , A.M Qureshi, , Qamar-ul-Islam. : Optimized run length coding for jpeg image compression used in space research program of IST. International Conference on Computer Networks and Information Technology, IEEE Conference Publications, Page(s): 81 – 85, 2011

  • ] A. Banerjee and A. Halder. : An Efficient Dynamic Image Compression Algorithm based on Block Optimization, Byte Compression and Run-Length Encoding along Y-axis., published in (ICCSIT), 3rd IEEE International Conference on (Volume:8 ), 2010.

  • A. Gupta, M.C. Srivastava, S.D. Pandey and V. Bhandari, . :Modified Runlength Coding for Improved JPEG Performance. IEEE Conference Publications, Page(s): 235 – 237, 2007.

  • A. Singh and V P Singh. . : An Enhanced Run Length Coding for JPEG Image Compression. Volume 72 - Number 20, IJCA Journal, 2013

  • S.P. Bagal and V.B. Raskar . : JPEG Image Compression by Using DCT. Research Paper, pages(34-38), Volume-4 , Issue-4 , 2016.

  • Nasir Ahmad. The DCT – an algorithm that impacts the world of digital audio and video. QUANTOM – Research and scholarship at the university of Mexico.

  • A.K Jain –. : Fundamentals of digital image processing., prentice hall, 1989, ISBN 0-13-336165-9.


Abstract Views: 382

PDF Views: 175




  • Squashed JPEG Image Compression Via Sparse Matrix

Abstract Views: 382  |  PDF Views: 175

Authors

Shaista Qadir
Department of Computer Science, King Khalid University, Abha, Saudi Arabia

Abstract


To store and transmit digital images in least memory space and bandwidth image compression is needed. Image compression refers to the process of minimizing the image size by removing redundant data bits in a manner that quality of an image should not be degrade. Hence image compression reduces quantity of the image size without reducing its quality. In this paper it is being attempted to enhance the basic JPEG compression by reducing image size. The proposed technique is about amendment of the conventional run length coding for JPEG (Joint Photographic Experts Group) image compression by using the concept of sparse matrix. In this algorithm, the redundant data has been completely eliminated and hence leaving the quality of an image unaltered. The JPEG standard document specifies three steps: Discrete cosine transform, Quantization followed by Entropy coding. The proposed work aims at the enhancement of the third step which is Entropy coding.

Keywords


Entropy Coding, JPEG Image Compression, Compaction Using Sparse, Optimized/Reduced Run Length Coding.

References