Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
School of Engineering / Centre for Communications Engineering Research
RAS ID
10892
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.
DOI
10.1109/ICIP.2010.5651337
Access Rights
free_to_read
Comments
This is an Author's Accepted Manuscript of: Tan, K., & Chai, D. K. (2010). JPEG compression of monochrome 2D-barcode images using DCT coefficient distributions. Proceedings of International Conference on Image Processing. (pp. 2169-2172). Hong Kong Baptist University, Hong Kong, China. IEEE. Available here
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