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IEEE 30th International Conference on Advanced Information Networking and Applications (IEEE AINA)

作者： Yang, Fu-Jhong Chen, Pei-Yin Hsu, Chih-Ling Lien, Chih-Yuan Natl Cheng Kung Univ Dept Comp Sci & Informat Engn Tainan Taiwan Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung Taiwan

ISBN: (纸本)9781509024612

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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Eliminating blocking artifacts in halftoning-based block truncation coding 24

Eliminating blocking artifacts in halftoning-based block tru...

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24th European Signal Processing Conference (EUSIPCO)

作者： Xu, Zi-Xin Chan, Yuk-Hee Hong Kong Polytech Univ Elect & Informat Engn Dept Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9780992862657

block truncation coding (BTC) is an effective lossy image coding technique that enjoys both high efficiency and low complexity especially when halftoning techniques are employed to shape the noise spectrum of its output. However, due to its block-based nature, blocking artifacts are commonly found in the coding outputs. In this work, a real-time halftoning-based BTC algorithm is proposed to solve this problem by eliminating the cause of blocking artifacts while maintaining a complexity comparable to the best state-of-the-art halftoning-based BTC algorithm. Both objective and subjective comparisons demonstrate the visual quality improvement in its encoding outputs.

关键词： block truncation coding halftoning blocking artifacts

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User-friendly secret image sharing scheme with verification ability based on block truncation coding and error diffusion

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JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 2015年 29卷 46-60页

作者： Qu, Duanhao Ye, Lili Sun, Wei Sun Yat Sen Univ Sch Informat Sci & Technol Guangzhou 510006 Guangdong Peoples R China Sun Yat Sen Univ Sch Software Guangzhou 510006 Guangdong Peoples R China Sun Yat Sen Univ Sch Informat Management Guangzhou 510006 Guangdong Peoples R China Chinese Acad Sci Inst Informat Engn State Key Lab Informat Secur Beijing 100093 Peoples R China

Conventional secret image sharing schemes, which are constructed based on Shamir's method, often suffer from random-liked shares, lossy reconstruction and high computation complexity. In addition, their generated shares are generally in original image format which may lead to more storage and suspicion from invaders. In this paper, we propose a user-friendly secret image sharing scheme based on block truncation coding (BTC) and error diffusion, where meaningful shares can be directly generated without any extra process. The meaningful shares by the proposed scheme are in BTC-compressed format which can reduce the capacity of transfer and storage. In the reconstructing phase, the secret image can be loss-lessly reconstructed by performing XOR operations on bit planes of sufficient BTC-compressed shares. Further, the proposed scheme provides extra verification ability to identify cheaters and check false shares. Theoretical analysis and simulation results demonstrate the feasibility of the proposed scheme. (C) 2015 Elsevier Inc. All rights reserved.

关键词： Secret image sharing block truncation coding Error diffusion Meaningful shares Loss less reconstruction Verification ability Low computation complexity XOR operation

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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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High capacity reversible data hiding scheme based on residual histogram shifting for block truncation coding

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SIGNAL PROCESSING 2015年 108卷 376-388页

作者： Chang, I-Cheng Hu, Yu-Chen Chen, Wu-Lin Lo, Chun-Chi Natl Dong Hwa Univ Dept Comp Sci & Informat Engn Shoufeng 97401 Hualien Taiwan Providence Univ Dept Comp Sci & Informat Management Taichung 43301 Taiwan Providence Univ Dept Comp Sci & Informat Engn Taichung 43301 Taiwan

A reversible data hiding scheme based on residual histogram shifting for the compressed images of block truncation coding (BTC) is proposed. This scheme employs an iterative approach to embed the secret data into the compressed codes of BTC. In each round, the quantization levels are processed by the block-based prediction technique to generate the residual values. Then, the residual values are used to embed the secret data. Multiple rounds of the data embedding process can be executed to increase the hiding capacity of the proposed scheme. Experimental results reveal that the proposed scheme provides good image qualities of the embedded images. In addition, the hiding capacity of the proposed scheme is greater than that of the comparative scheme. Furthermore, the embedded compressed codes still follow the standard format of BTC after the proposed data embedding procedure is executed. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Reversible data hiding block truncation coding Histogram shifting Predictive coding

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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

关键词： block truncation coding Image compression Error diffusion

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Adaptive block truncation coding technique using edge-based quantization approach

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COMPUTERS & ELECTRICAL ENGINEERING 2015年 43卷 169-179页

作者： Mathews, Jayamol Nair, Madhu S. Univ Kerala Dept Comp Sci Thiruvananthapuram 695581 Kerala India

In this paper a new approach of edge-based quantization for the compression of gray scale images using an Adaptive block truncation coding technique (ABTC-EQ) is proposed, to improve the compression ratio (CR) with high picture quality. Quantization is done based on the edge information contained in each block of pixels of the image. Conventional BTC method retains the visual quality of the reconstructed image but it shows some artifacts near the edges. In conventional BTC and variants, same quantization is done for all pixel values with different block sizes so that CR is static for images with a fixed block size. But in the case of proposed method since the quantization is done based on the edge information, CR become dynamic and consequently achieves better visual quality with better CR. The experimental analysis based on subjective and quantitative analysis proved that the proposed method outperforms other BTC variants. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Image compression Lossy compression block truncation coding Edge detection k-means clustering

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Assessment of Similarity Measurement Criteria in Thepade's Sorted Ternary block truncation coding (TSTBTC) for Content Based Video Retrieval

Assessment of Similarity Measurement Criteria in Thepade's S...

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International Conference on Communication, Information & Computing Technology (ICCICT)

作者： Thepade, Sudeep D. Yadav, Nalini B. Savitribai Phule Pune Univ Pimpri Chinchwad Coll Engn Dept Comp Engn Pune Maharashtra India

ISBN: (纸本)9781479955220

Rapid growth in Information technology and Communication networking, have increased the inclination of professionals in storage and archival of multimedia-video data. Efficient and accurate retrieval of archived video data is essential need of many professional groups like researchers, analyst, journalist and historians. Textual metadata based video retrieval is intuitive and subject to human perception. Thus researchers are exploiting the opportunity of extracting the features based on content of video and retrieve the video accordingly. There rises a new horizon of Content Based Video Retrieval. Color content based video retrieval has been attempted using block truncation coding and variations of it. Thepade's Sorted Ternary block truncation coding level 2 (TSTBTC-2) has been attempted for Color Content Based Video Retrieval in this paper. The paper attempts detailed performance comparison of sixteen similarity measures alias Euclidean Distance, City block Metric, Chebychev Distance, Mean Square Error, Hamming Distance, Minkowski Distance, Soergel Distance, Sorensen Distance, Canberra Distance, Kulczynski Distance, Wave Hedges Distance, Harmonic Mean Distance, Cosine Similarity, Jaccard Distance, Fidelity Distance and Squared Chord Distance across five families L-p Minkowski family, L-1 family, Intersection family, Inner Product Family and Fidelity family. TSTBTC-2 based video retrieval experimentation is done on test bed of 500 videos with 500 queries and the average accuracy is computed. After experimentation it has been found that Lp Minkowski family performs better and fidelity family's similarity measures are not suitable for applications like Color Content Based Video Retrieval. Among all similarity measures considered Sorensen Distance shows best performance followed by City block Metric measure.

关键词： Color Content Based Video Retrieval block truncation coding Thepade's Sorted Ternary block truncation Codin Similarity measures

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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 (ISCAS)

作者： Liu, Yun-Fu Guo, Jing-Ming Wu, Zong-Jhe Lee, Hua Natl Taiwan Univ Sci & Technol Dept Elect Engn Taipei Taiwan Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA

ISBN: (纸本)9781479983919

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

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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

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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