DocumentCode :
3331401
Title :
JPEG compression of monochrome 2D-barcode images using DCT coefficient distributions
Author :
Tan, Keng T. ; Chai, Douglas
Author_Institution :
Centre for Holistic Teaching & Learning, Hong Kong Baptist Univ., Hong Kong, China
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
2169
Lastpage :
2172
Abstract :
Two dimensional (2D) barcodes are becoming a pervasive interface for mobile devices, such as camera phones. Often, only monochrome 2D-barcodes are used due to their robustness in an uncontrolled operating environment of camera phones. Most camera phones capture and store such 2D-barcode images in the baseline JPEG format. As a lossy compression technique, JPEG does introduce a fair amount of error in the decoding of captured 2D-barcode images. In this paper, we introduce an improved JPEG compression scheme for such barcode images. By altering the JPEG compression parameters based on the DCT coefficient distribution of such barcode images, the improved compression scheme produces JPEG images with higher PSNR value as compared to the baseline implementation. We have also applied our improved scheme to a real 2D-barcode system - the QR Code and analyzed its performance against the baseline JPEG scheme.
Keywords :
bar codes; data compression; discrete cosine transforms; image coding; mobile computing; user interfaces; DCT coefficient distributions; JPEG compression parameters; JPEG compression scheme; JPEG images; PSNR value; QR code; baseline JPEG format; camera phones; lossy compression technique; mobile devices; monochrome 2D-barcode images; monochrome 2D-barcodes; pervasive interface; two dimensional barcodes; Colored noise; Decoding; Discrete cosine transforms; Image coding; Image color analysis; PSNR; Transform coding; Image processing; image analysis; image coding; image restoration; optical image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5651337
Filename :
5651337
Link To Document :
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