DocumentCode
1762331
Title
Adaptive scanning methodology for objectoriented visual information processing
Author
Li Wern Chew
Author_Institution
Intel Archit. Group, Intel Microelectron. (M) Sdn. Bhd., Minden, Malaysia
Volume
49
Issue
10
fYear
2013
fDate
May 9 2013
Firstpage
651
Lastpage
653
Abstract
The raster scan method in visual information processing is the rectangular pattern of image capture and reconstruction which systematically covers the area progressively, one line at a time starting from the top left corner. This traditional scanning method might work well for still image processing but for moving images, a scanning method such as diagonal snake scan can provide a better object correlation in a sequence of image frames. A novel adaptive scanning method for object-oriented visual information processing is proposed. Here, image pixels are collected starting from the centre of the image area and progressively extended outwards similar to the water drop ripple effect. Simulation results have shown that the proposed work uses up to 33% less processing time to cover the region-of-interest in an image compared to the raster scan method. Preliminary simulation results have also shown that with the proposed adaptive scanning methodology, there is a significant improvement in the performance of the object-oriented visual compression.
Keywords
correlation methods; data compression; image coding; image reconstruction; image sequences; object-oriented methods; adaptive scanning methodology; diagonal snake scan; image capture; image frames; image pixels; image reconstruction; image sequence; moving images; object correlation; object-oriented visual information processing; raster scan method; rectangular pattern; region-of-interest; still image processing; visual compression; water drop ripple effect;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el.2013.0546
Filename
6528805
Link To Document