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

Rostom Kachouri (1) , Mohamed Akil (1)

1 LIGM - Laboratoire d'Informatique Gaspard-Monge

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 cooperating 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.

Mots clés: PNG encoder; Prediction; LZ77; Huffman; binary masks; Hardware design; FPGA

Domaines: Architectures Matérielles [cs.AR]; Systèmes embarqués; Traitement du signal et de l'image [eess.SP]

Rostom Kachouri, Mohamed Akil. Hardware design to accelerate PNG encoder for binary mask compression on FPGA. SPIE 9400, Real-Time Image and Video Processing, Feb 2015, San Francisco, California, United States. ⟨10.1117/12.2076483⟩. ⟨hal-01305864⟩