FPGA Implementation of a Predictive Vector Quantization Image Compression Algorithm for Image Sensor Applications

This paper presents a hybrid image compression scheme based on a block based compression algorithm referred to as Vector Quantization (VQ) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique called the PVQ scheme results in enhanced image q...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Fourth IEEE International Symposium on Electronic Design, Test and Applications : proceedings : [Delta]'08 : 23-25 January 2008, SAR, China s. 431 - 434
Hlavní autoři:	Yan Wang, Bermak, A., Bouzerdoum, A., Brian Ng
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.01.2008
Témata:	Compression algorithms Field programmable gate arrays FPGA Image coding Image quality Image sensors Modulation coding Predictive Vector Quantization Pulse compression methods Pulse modulation Robustness Vector quantization
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	This paper presents a hybrid image compression scheme based on a block based compression algorithm referred to as Vector Quantization (VQ) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique called the PVQ scheme results in enhanced image quality as compared to the standalone VQ. The generated codebooks for the PVQ scheme are more robust for image coding than that of the VQ. This made our system a suitable candidate for developing on chip image sensor with integrated data compression processor. The proposed system was validated through FPGA implementation. The resulting implementation achieved good compression and image quality with moderate system complexity.
DOI:	10.1109/DELTA.2008.69