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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 吳安宇(An-Yen Wu) | |
dc.contributor.author | Chao-Yang Tsai | en |
dc.contributor.author | 蔡朝陽 | zh_TW |
dc.date.accessioned | 2021-06-08T05:03:25Z | - |
dc.date.copyright | 2011-08-22 | |
dc.date.issued | 2011 | |
dc.date.submitted | 2011-08-19 | |
dc.identifier.citation | [1] S. Dikbas and F. Zhai, “Lossless image compression using adjustable fractional line-buffer,” Signal Processing: Image Communication, vol. 25, no. 5, pp. 345-351, June 2010.
[2] V. Kitanovski, M. Kseneman, D. Gleich, and D. Taskovski, “Adaptive lifting integer wavelet transform for lossless image compression,” Systems, Signals and Image Processing, IWSSIP, pp. 105–108, June 2008. [3] A. Watson., “Image compression using the discrete cosine transform,” Mathematica Journal, vol. 4, no. 1, pp. 81–88, 1994. [4] J. Reichel, G. Menegaz, M. Nadenau, and M. Kunt, “Integer wavelet transform for embedded lossy to lossless image compression,” IEEE Trans. Image Processing, vol. 10, pp. 383–392, Mar. 2001. [5] M.D. Adams, F. Kossentini, “Evaluation of reversible integer-to-integer wavelet transforms for image compression,” Proceedings of the ICIP, 1999. [6] Information Technology—Lossless and Near-Lossless Compression of Continuous-Tone Still Images, 1999. ISO/IEC 14495-1, ITU Recommend. T.87. [7] M. J. Weinberger and G. Seroussi, 'The LOCO-I Lossless Image Compression Algorithm Principles and Standardization into JPEG-LS,' IEEE Transactions on Image Processing, August 2000. [8] S. Miaou, F. Ke, S. Chen, “A Lossless Compression Method for Medical Image Sequences Using JPEG-LS and Inter frame Coding,” IEEE Trans. Inf. Technol. Biomed., vol. 13, no. 5, pp. 811–821, Sept. 2009. [9] X. Li, X. Chen, X. Xie, G. Li, Li Zhang, C. Zhang, and Z. Wang, “ A Low Power, Fully Pipelined JPEG-LS Encoder for Lossless Image Compression” ICME, pp. 1906-1909, 2007. [10] J. Jiang, 'A low-cost content-adaptive and rate-controllable near-lossless image codec in DPCM domain,' IEEE Trans. Image Processing, vol. 9, no. 4, pp. 543-554, 2000. [11] X. Chen, H. Jiang, X. Li, and Z. Wang, “A novel compression method for wireless image sensor node,” IEEE Asian Solid-State Circuits Conference, pp. 184–187, 2007. [12] X. Xie, G. L. Li, X. K. Chen, C. Zhang, and Z. H. Wang, “A low complexity near-lossless image compression method and its ASIC design for wireless endoscopy system,” Proc. Int. Conf. ASICON, pp.37–40, 2005. [13] X. Zhang , W. Lin and P. Xue 'Just-noticeable difference estimation with pixels in images', J. Visual Commun. Image Represent., vol. 19, pp. 30, 2008. [14] X. K. Yang, W. Lin, Z. K. Lu, E. P. Ong, and S. S. Yao, “Just noticeable distortion model and its applications in video coding,” Signal Process.:Image Commun., vol. 20, no. 7, pp. 662–680, Aug. 2005. [15] C. H. Chou and Y. C. Li, “A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile,” IEEE Trans. Circuits Syst. Video Technol., vol. 5, pp. 467, 1995. [16] N. S. Jayant, J. D. Johnston, and R. J. Safranek, “Signal compression based on models of human perception,” IEEE Proc., vol. 81, pp. 1385-1422, 1993. [17] D. H. Pritchard. “U.S. color television fundamentals– A review.” IEEE Transactions on Consumer Electronics, vol. 23, pp. 467–478, Nov. 1977. [18] A. K. Romney and C.-C. Chiao, 'Functional computational model for optimal color coding,' Proceedings of the National Academy of Sciences, vol. 106, pp. 10376–10381, 2009. [19] C. Delgorge, C. Rosenberger, P. Vieyres, and G. Poisson, “JPEG 2000, an adapted compression method for ultrasound images? A comparative study,” Int. Conf. Systemics, Cybernetics and Informatics, vol. 9, pp. 536–539, 2002. [20] M. Hunter, “Understanding LCD Memory and Bus Bandwidth Requirements,” Application Note of Freescale Semiconductor, 2008. [21] C.E. Shannon, “A mathematical theory of communication,” Bell System Technical Journal, vol. 27, pp. 379–423 and 623–656, 1948. [22] The USC-SIPI Image Database, http://sipi.usc.edu/database/database.php. [23] R. Franzen, 'Kodak Lossless True Color Image Suite,' http://r0k.us/graphics/kodak/ [24] http://www.htc.com/tw/ [25] http://www.apple.com/tw/ | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/23509 | - |
dc.description.abstract | Due to the evolution of smart phone, the requirement of high resolution LCD panel for hand-held devices also grows. When the image data is transmitted to the LCD panel, the image data will be stored in the frame buffer of the LCD control IC through the transfer interface first. When the screen is updating, the image data stored in the frame buffer will be read out and displayed on the screen. As the resolution of LCD panel increases, the area of the frame buffer also increases. The cost of system also grows.
In this thesis, we propose a low-cost near-lossless rate-controllable compression algorithm (NRC) and corresponding hardware architecture. The NRC algorithm can compress the input image in order to reduce the area of the frame buffer and preserve the image quality of the reconstructed images. The NRC algorithm predicts the current pixel by previous pixels and utilizes the previous prediction errors to dynamically adjust the parameter of encoder to improve the coding efficiency. The proposed NRC algorithm also considers the characteristic of human visual system while deciding the quantization step, making the reconstructed image perceptually the same as the original image. In this thesis, an image compression engine and an image decompression engine suitable for the LCD panel with resolution 640*480 are implemented by the UMC 90 nm process. The area of the compression engine is 0.2 mm2.The operational frequency of the compression engine is 40 MHz. The area of the decompression engine is 0.132 mm2. The operational frequency of the decompression engine is 37 MHz. After adding the compression engine and the decompression engine, the reduced area of the frame buffer is 10.75 mm2. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T05:03:25Z (GMT). No. of bitstreams: 1 ntu-100-R98943041-1.pdf: 1503929 bytes, checksum: fb3225d547c090e06d00bbb23a7355e6 (MD5) Previous issue date: 2011 | en |
dc.description.tableofcontents | List of Figures iii
List of Tables v Chapter 1 Introduction 1 1.1 Motivation and Goal 1 1.2 Thesis Organization 8 Chapter 2 Review of Related Works 9 2.1 JPEG-LS 9 2.2 A Content-Adaptive and Rate-Controllable Near-Lossless Image Codec in DPCM Domain 13 2.2.1 Content Adaptive Information Loss Distribution 14 2.2.2 Rate Control Design 15 2.3 Just Noticeable Distortion 18 2.4 Color Response of Human Visual System 20 Chapter 3 Near-Lossless Rate-Controllable Compression Algorithm 22 3.1 Overview of Proposed NRC Algorithm 22 3.2 Adaptive Prediction Algorithm 25 3.2.1 Inter-Color Predictor 26 3.2.2 Selection Criteria for Choosing Predictor 28 3.3 Near-Lossless Rate-Controllable Quantization Algorithm 30 3.4 Adaptive Golomb-Rice Coding 34 Chapter 4 Performance Evaluation of Proposed NRC Algorithm 38 4.1 Test Images 38 4.2 Performance Evaluation of the Adaptive Prediction Algorithm 39 4.3 Performance Evaluation by Compression Ratio and Image Quality of Decoded Image 40 Chapter 5 Architecture of Proposed NRC Algorithm 44 5.1 System overview 44 5.2 Adaptive Prediction Module 45 5.3 Near-Lossless Rate-Controllable Quantization Module 47 5.4 Adaptive Golomb-Rice Coding Module 49 5.5 Block Diagram of the Encoding and Decoding Engine 51 Chapter 6 Hardware Implementation 54 6.1 Synthesis Results 54 6.2 Chip Results 58 Chapter 7 Conclusion 61 7.1 Main Contributions 61 7.2 Future Works 61 References 62 | |
dc.language.iso | en | |
dc.title | 適用於手持裝置之近似無失真影像壓縮/解壓縮引擎設計 | zh_TW |
dc.title | Near-lossless Image Compression/ Decompression Engine Design for Hand-held Devices | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 盧奕璋,許槐益,林承鴻 | |
dc.subject.keyword | 近似無失真影像壓縮, | zh_TW |
dc.subject.keyword | Near-lossless Image Compression, | en |
dc.relation.page | 64 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2011-08-19 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電子工程學研究所 | zh_TW |
顯示於系所單位: | 電子工程學研究所 |
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