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Proceedings Paper

Hardware design to accelerate PNG encoder for binary mask compression on FPGA
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Paper Abstract

PNG (Portable Network Graphics) is a lossless compression method for real-world pictures. Since its specification, it continues to attract the interest of the image processing community. Indeed, PNG is an extensible file format for portable and well-compressed storage of raster images. In addition, it supports all of Black and White (binary mask), grayscale, indexed-color, and truecolor images. Within the framework of the Demat+ project which intend to propose a complete solution for storage and retrieval of scanned documents, we address in this paper a hardware design to accelerate the PNG encoder for binary mask compression on FPGA. For this, an optimized architecture is proposed as part of an hybrid software and hardware co-operating system. For its evaluation, the new designed PNG IP has been implemented on the ALTERA Arria II GX EP2AGX125EF35" FPGA. The experimental results show a good match between the achieved compression ratio, the computational cost and the used hardware resources.

Paper Details

Date Published: 27 February 2015
PDF: 13 pages
Proc. SPIE 9400, Real-Time Image and Video Processing 2015, 940003 (27 February 2015); doi: 10.1117/12.2076483
Show Author Affiliations
Rostom Kachouri, Univ. Paris-Est, Lab. d'Informatique Gaspard-Monge, Equipe A3SI, ESIEE (France)
Mohamed Akil, Univ. Paris-Est, Lab. d'Informatique Gaspard-Monge, Equipe A3SI, ESIEE (France)


Published in SPIE Proceedings Vol. 9400:
Real-Time Image and Video Processing 2015
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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