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2009 IEEE International Conference on Network Infrastructure and Digital Content（IC-NIDC 2009）

作者： Yeun-Cheul Jeung Jong-Wha Chong Department of Electronics and Computer Engineering Hanyang UniversitySeoul 133-791Korea

In this paper,a hybrid block truncation coding (HBTC) is presented for color image *** the HBTC algorithm to improve the compression ratio of the basic BTC,only luminance bit-map is employed to represent the edge information of the coding ***,an efficient previous proposed algorithm,adaptive quantization coding (AQC),is used to compress the two representative levels *** results show that the proposed HBTC performs as well as the BTC in terms of subject visual quality,and significantly improves the compression ratio of BTC from 2.88:1 to 6.00:1 with the limited performance losing about 0.66dB in PSNR.

关键词： block truncation coding color image compression adaptive quantization coding

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Near-Aperiodic Dot-Diffused block truncation coding

Near-Aperiodic Dot-Diffused Block Truncation Coding

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IEEE International Symposium on Circuits and Systems

作者： Yun-Fu Liu Jing-Ming Guo Zong-Jhe Wu Hua Lee Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Electrical and Computer Engineering University of California Santa Barbara Santa Barbara CA

ISBN: (纸本)9781479983926

In this study, an improved block truncation coding (BTC) image compression scheme, namely Near-Aperiodic Dot-Diffused BTC (NADDBTC), is described. Firstly, the existing regular structures for the generation of bitmap are completely modified for aperiodic compressed results. Moreover, an adaptive quantization levels selection strategy and two parameters Class Matrix (CM) and Diffused Matrix (DM) for image compression are developed and co-optimized. The improvements produce results of superior image quality. Furthermore, the adaptive quantization levels are introduced for balanced false contour, impulsive noise, and blocking artifact. Experimental results demonstrate that the proposed NADDBTC is capable of providing excellent image quality and visual perception, as well as processing efficiency, similar to DDBTC by exploiting the innate parallelism advantage of dot diffusion.

关键词： Image compression block truncation coding dot diffusion digital halftoning optimization block truncation coding Image compression Data compression Image quality bit map adaptive quantization Visual Perception

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Content-Based Image Retrieval with Ordered Dither block truncation coding Features

Content-Based Image Retrieval with Ordered Dither Block Trun...

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IEEE International Conference on Image Processing

作者： Jing-Ming Guo Heri Prasetyo Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (纸本)9781479923427

This paper presents a technique for Content-Based Image Retrieval (CBIR) by exploiting the low complexity advantage of the Ordered-Dither block truncation coding (ODBTC) for generating image content descriptors. The two image features, namely Color Co-occurrence Feature (CCF) and Bit Pattern Features (BPF), are generated from ODBTC encoded data streams (without really performing an image compression or decoding process) to measure the similarity between two images. Experimental results show that the proposed method is superior to the block truncation coding (BTC) image retrieval system and other former methods, and prove that the ODBTC scheme is not only suited for image compression for its simplicity, but also offers a conveniently way for image indexing in the content-based image retrieval system.

关键词： Ordered Dither block truncation coding Content-Based Image Retrieval Color Co-occurrence Feature Bit Pattern Feature content-based image retrieval Image compression Data compression block truncation coding image retrieval image indexing dithering Band-pass filters

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ADAPTIVE block truncation coding IMAGE COMPRESSION TECHNIQUE USING OPTIMIZED DOT DIFFUSION

ADAPTIVE BLOCK TRUNCATION CODING IMAGE COMPRESSION TECHNIQUE...

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IEEE International Conference on Image Processing

作者： Yun-Fu Liu Jing-Ming Guo Yu Cheng Department of Electrical Engineering National Taiwan University of Science and Technology

ISBN: (纸本)9781467399623

block truncation coding (BTC) has been considered as a highly efficient compression technique for decades, but the blocking artifact is its main issue. The halftoning-based BTC has significantly eased this issue, yet an apparent impulse noise artifact is accompanied. In this study, an improved BTC, termed adaptive dot-diffused BTC (ADBTC), is proposed to further improve the visual quality. Also, this method provides an additional flexibility on the compression ratios determination in contrast to the former fixed and few number of configuration possibilities. As documented in the experimental results, the proposed method achieves the superior image quality regarding the five various objective IQA methods. As a result, it is a very competitive approach for the needs of both high frame rate and high-resolution image compression.

关键词： Image compression block truncation coding Optimization Halftoning Dot diffusion Image compression block truncation coding halftones Data compression BTC gene Frame Rate block effect Image quality

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Mean Square Error Minimization Using Interpolative block truncation coding Algorithms

Mean Square Error Minimization Using Interpolative Block Tru...

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2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

作者： Elghanai.M.Rhoma Abdosllam.M.Abobaker Communication Engineering Department Higher Institute of Electronics Bani Waleed Libya

block truncation coding (BTC) is one of spatial coding techniques of images. This technique has a simple and fast algorithm which achieves constant bit rate of 2 bits per pixel. The compression ratio may be improved by coding only half of the bits in the BTC bit plane of each block;the other half will be interpolated at the receiver. The resulting bit rate will be 1.5 bits per pixel. In this paper, two proposed interpolative algorithms for coding the block truncated image bit plane are presented. Several grey scale test images are used to evaluate the coding efficiency and performance of these algorithms compared with existing algorithms. It is generally shown that the proposed algorithms give better results.

关键词： image coding block truncation coding interpolative BTC coding image processing

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VLSI implementation of visual block pattern truncation coding

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 1998年第3期44卷 490-499页

作者： Liu, YC Lai, YK Tsai, TH Wu, PC Chen, LG Tamsui Oxford Univ Coll Dept Comp & Informat Sci Taipei Taiwan

The paper proposes a pipelined architecture of visual block pattern truncation coding algorithm to minimize mean square error. Using this chip, the VBPTC based system can be applied to real-time encoding for the movin... 详细信息

关键词： block truncation coding visual pattern image coding visual block pattern truncation coding VLSI implementation

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An Efficient Quadtree-based block truncation coding for Digital Image Compression

An Efficient Quadtree-based Block Truncation Coding for Digi...

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International Workshop on Bio and Intelligent Computing

作者： Fu-Jhong Yang Pei-Yin Chen Chih-Ling Hsu Chih-Yuan Lien Department of Computer Science and Information Engineering National Cheng Kung University Department of Electronic Engineering National Kaohsiung University of Applied Sciences

ISBN: (纸本)9781509024629

The block truncation coding (BTC) is a simple and important technique to compress the digital image data. In this paper, we introduce our image compression method utilizing quadtree decomposition. In order to reduce bit rate and blocking effect, we apply the error diffusion technique. Our extensive experimental results show that the proposed method obtains excellent performances in terms of quantitative evaluation and visual quality.

关键词： block truncation coding Image compression Error diffusion

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Image Data-Deduplication using the block truncation coding technique

Image Data-Deduplication using the Block truncation coding t...

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International Conference on Futuristic Trends on Computational Analysis and Knowledge Management

作者： Anum Javeed Zargar Ninni Singh Geetanjali Rathee Amit Kumar Singh Department of Computer Science and Engineering Jaypee University of Information Technology

ISBN: (纸本)9781479984343

In this paper, we have CBIR, which is known as Content based Image Retrieval is the application of computer vision technique to the image retrieval problem from the large databases. In this paper de-duplication of electricity bills is done through CBIR. The technique for comparing the images is block truncation coding;it is a lossy compression technique for grayscale image. So Photograph of electricity was divided into different block size using a compression technique known as block truncation coding. On the basis of block size, we will put images of the same block size in the same cluster. As there will be large block, so they will be divided into chunks of data. Through this experiment we will try to remove duplicates in the same cluster. In this paper the block of data is also divided into different chunks, so that image of single instance can be stored in these chunks. So duplication will be improved with the help of compression techniques discussed in detail.

关键词： Data-deduplication K-means Clustering block truncation coding

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HYBRID block truncation coding FOR COLOR IMAGE COMPRESSION

HYBRID BLOCK TRUNCATION CODING FOR COLOR IMAGE COMPRESSION

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2009 IEEE International Conference on Network Infrastructure and Digital Content(2009年IEEE网络基础设施与数字内容国际会议 IEEE IC-NIDC2009)

作者： Jun Wang Yeun-Cheul Jeung Jong-Wha Chong Department of Electronics and Computer Engineering Hanyang University Seoul 133-791 Korea

ISBN: (纸本)9781424448999

In this paper, a hybrid block truncation coding (HBTC) is presented for color image compression. In the HBTC algorithm to improve the compression ratio of the basic BTC, only luminance bit-map is employed to represent the edge information of the coding block. Moreover, an efficient previous proposed algorithm, adaptive quantization coding (AQC), is used to compress the two representative levels further. Simulation results show that the proposed HBTC performs as well as the BTC in terms of subject visual quality, and significantly improves the compression ratio of BTC from 2.88:1 to 6.00:1 with the limited performance losing about 0.66dB in PSNR.

关键词： block truncation coding color image compression adaptive quantization coding

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Content Based Video Retrieval Scheme Using Halftone block truncation coding

Content Based Video Retrieval Scheme Using Halftone Block Tr...

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IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology

作者： Savita V. Borkar Shraddha S. Katariya Department of Electronics Engineering Amrutvahini College of Engineering

ISBN: (纸本)9781509037056

Evolutions in image-data processing is rapidly changing from text-based retrieval systems to video retrieval which is created on content based systems due to its eminent demand in digital market and that can be possible only due to available multimedia data types and available bandwidth. In proposed method of Content Based Video Retrieval (CBVR) the Ordered-Dither block truncation coding (ODBTC) technique is employed which generates appropriate image contents. Combinations of Void-and-cluster half-toning and block truncation coding (BTC) offers low complexity in algorithm and provides better video image quality. Dither array Look-Up-Table (LUT) is a distinctive feature of ODBTC which reduces the difficulties by providing look up values of segmented blocks. ODBTC encoded streams are used for generation of two distinct features including of color features namely Color Co-occurrence Feature (CCF) and Bit Pattern Features (BPF). After quantizing and bit-mapping from ODBTC encoder, BPF is obtained by LUT. In the presented system, CBVR is achieved by block truncation (BT) of expected video information to be retrieved. Proposed system provides good remedy for CBVR for large digital video-data processing in the fields of Image and Video Processing.

关键词： block truncation coding content based video retrival color co-occurrence feature and bit pattern features half-toning ordered-dither block truncation coding block truncation coding halftones video retrieval Band-pass filters video information quantizer Search engines data types effective bandwidth

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