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KEY OPTIMIZATION TECHNIQUES IN JPEG-LS IP CORE DESIGN 被引量:3

KEY OPTIMIZATION TECHNIQUES IN JPEG-LS IP CORE DESIGN
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摘要 This paper presents the key optimization techniques for an efficient accelerator implementation in an image encoder IP core design for real-time Joint Photographic Experts Group Lossless(JPEG-LS) encoding.Pipeline architecture and accelerator elements have been utilized to enhance the throughput capability.Improved parameters mapping schemes and resource sharing have been adopted for the purpose of low complexity and small chip die area.Module-level and fine-grained gating measures have been used to achieve a low-power implementation.It has been proved that these hardware-oriented optimization techniques make the encoder meet the requirements of the IP core implementation.The proposed optimization techniques have been verified in the implementation of the JPEG-LS encoder IP,and then validated in a real wireless endoscope system. This paper presents the key optimization techniques for an efficient accelerator implementation in an image encoder IP core design for real-time Joint Photographic Experts Group Lossless (JPEG-LS) encoding. Pipeline architecture and accelerator elements have been utilized to enhance the throughput capability. Improved parameters mapping schemes and resource sharing have been adopted for the purpose of low complexity and small chip die area. Module-level and fine-grained gating measures have been used to achieve a low-power implementation. It has been proved that these hardware-oriented optimization techniques make the encoder meet the requirements of the IP core implementation. The proposed optimization techniques have been verified in the implementation of the JPEG-LS encoder IP, and then validated in a real wireless endoscope system.
出处 《Journal of Electronics(China)》 2010年第1期94-98,共5页 电子科学学刊(英文版)
基金 Supported by National High Technology Research and Development Program (No.2008AA010707)
关键词 Joint Photographic Experts Group sharing Logarithm priority encoder Lossless (JPEG-LS) Low power Resource Joint Photographic Experts Group Lossless(JPEG-LS) Low power Resource sharing Logarithm priority encoder
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  • 1Yongqiang Cheng,Jiang Zhao,et al.Fuzzy neural network based prediction coding for bayer pattern image[].IEEE Conference on Cybernetics and Intelligent Systems.2008
  • 2S. Y. Lee,A. Ortega.A novel approach of image compression in digital cameras with a Bayer color filter array[].Proceedings IEEE International Confer-ence on Image Process.2001
  • 3N. Merhav,G. Seroussi,et al.Optimal prefix codes for sources with two-sided geometric distributions. Technical Report No. HPL-98-70 . 1998
  • 4Yongqiang Cheng,Keming Xie,Gang Zhang.Context-based lossless compression of mosaic image with bayer pattern[].Internation Congress on Image and Signal ProcessingCISP’.2008
  • 5Marcelo J Weinberger,Gadiel Seroussi,Guillermo Sapiro.The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS[].IEEE Transactions on Image Processing.2000
  • 6Golomb S W.Run-length encodings[].IEEE Transactions on Information Theory.1966
  • 7Information Technology-Lossless and near-lossless compression of continuous-tone images-Baseline. International Telecommunication Union(ITU-T Recommendation T.87).ISO/IEC14495-1 . 1998
  • 8Neves,A.J.R,Pinho,A.J."Lossless Compression of Microarray Images Using Image-Dependent Finite-Context Models"[].IEEE Transactions on Medical Imaging.2009
  • 9CHEN X K,ZHANG X Y,ZHANG L W,et al.A wireless capsule endoscope system with low-power controlling and processing ASIC[].IEEE Trans Bi-omed Circ and Syst.2009
  • 10Papadonikolakis M,Pantazis V,Kakarountas A P.Efficient High-performance ASIC Implementation of JPEG-LS Encoder[].Procof DesignAutomation&Test in Europe Conference&Exhibition Conference.2007

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