Analysing JPEG coding with masking

Yeo, S-Y., and Nguwi, Y-Y. (2016) Analysing JPEG coding with masking. International Journal of Multimedia and its Applications, 8 (1). pp. 45-54.

[img]
Preview
PDF (Published Version) - Published Version
Available under License Creative Commons Attribution.

Download (772kB) | Preview
View at Publisher Website: http://dx.doi.org/10.5121/ijma.2016.8104
 
35


Abstract

The growing trend of online image sharing and downloads today mandate the need for better encoding and decoding scheme. This paper looks into this issue of image coding. Multiple Description Coding is an encoding and decoding scheme that is specially designed in providing more error resilience for data transmission. The main issue of Multiple Description Coding is the lossy transmission channels. This work attempts to address the issue of re-constructing high quality image with the use of just one descriptor rather than the conventional descriptor. This work compare the use of Type I quantizer and Type II quantizer. We propose and compare 4 coders by examining the quality of re-constructed images. The 4 coders are namely JPEG HH (Horizontal Pixel Interleaving with Huffman Coding) model, JPEG HA (Horizontal Pixel Interleaving with Arithmetic Encoding) model, JPEG VH (Vertical Pixel Interleaving with Huffman Encoding) model, and JPEG VA (Vertical Pixel Interleaving with Arithmetic Encoding) model. The findings suggest that the use of horizontal and vertical pixel interleavings do not affect the results much. Whereas the choice of quantizer greatly affect its performance.

Item ID: 43011
Item Type: Article (Scholarly Work)
ISSN: 0975-5578
Related URLs:
Additional Information:

For all papers published in AIRCC journals, the copyright of the paper is retained by the author under Creative Commons (CC) Attribution license. This license authorizes unrestricted circulation and reproduction of the publication by anybody, as long as the original work is properly cited.

Date Deposited: 20 Jul 2016 03:03
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
Downloads: Total: 35
Last 12 Months: 21
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page