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Image compression using modified block truncation coding algorithm

SIGNAL PROCESSING-IMAGE COMMUNICATION 1998年第1期12卷 1-11页

作者： Chao, CW Hsieh, CH Lu, PC Chung Cheng Inst Technol Dept Elect Engn Tao Yuan 33509 Taiwan I Shou Univ Dept Informat Engn Kaohsiung 84008 Taiwan

This paper presents a modified block truncation coding (ETC) algorithm for image compression. Similar blocks in an image are merged into a cluster and represented with the cluster center. Each cluster center is then encoded with a vision block truncation coding (VBTC) algorithm which uses a small set of predefined binary edge patterns to approximate the bit plane of the cluster center. Experimental results show that the computation efficiency of the proposed algorithm is significantly improved when compared to the original BTC. (C) 1998 Elsevier Science B.V. All rights reserved.

关键词： image compression block truncation coding vector quantization LBG algorithm

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Dual block truncation coding for Overdriving of Full HD LCD Driver

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2012年第1期58卷 1-7页

作者： Ko, Yun-Ho Kim, Jin-Hyung Lee, Si-Woong Kang, Hyun-Soo Chungnam Natl Univ Dept Mechatron Engn Coll Engn Taejon 305764 South Korea Hanbat Natl Univ Div Informat Commun & Comp Engn Taejon 305719 South Korea Chungbuk Natl Univ Coll Elect & Comp Engn Chungbuk 361763 South Korea

This paper presents an image coding method for overdriving of a 10bit Full HD LCD display considering the chip size of TCON (Timing Controller) and real-time operation. The proposed method is an adaptive scheme of AM-BTC (Absolute Moment block truncation coding). It splits a sample block into two sub-blocks considering the color level distribution of the sample block and applies AM-BTC to each sub-block. Experimental results show that the proposed method is superior to the conventional method in both objective and subjective visual quality.(1).

关键词： Dual BTC block truncation coding Full HD TCON LCD Overdriving

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Bit rate reduction techniques for absolute moment block truncation coding

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JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS 1999年第5期22卷 661-667页

作者： Chen, WJ Tai, SC Natl Cheng Kung Univ Dept Elect Engn Tainan 701 Taiwan

block truncation coding uses a two-level moment preserving quantizer that adapts to local properties of the images. It has the features of low computation load and low memory requirement while its bit rate is only 2.0 bits per pixel. A more efficient algorithm, the absolute moment ETC (AMBTC) has been extensively used in the field of signal compression because of its simple;computation and better MSE performance. We propose postprocessing methods to further reduce the entropy of two output data of AMBTC, including the bit map and two quantization data (a, b). A block of a 2x4 bit map is packaged into a byte-oriented symbol. The entropy can be reduced from 0.965 bpp to 0.917 bpp on average for our test images. The two subimages of quantization data (a, b) are postprocessed by the Peano Scan. This postprocess can further reduce differential entropy about 0.4 bit for a 4x4 block. By applying arithmetic coding, the total bit reduction is about 0.3 similar to 0.4 bpp. The bit rate can reach 1.6 similar to 1.7 bpp with the same quality as traditional AMBTC.

关键词： block truncation coding AMBTC byte-oriented peano scan

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A novel block truncation coding of color images using a quaternion-moment-preserving principle

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IEEE TRANSACTIONS ON COMMUNICATIONS 1997年第5期45卷 583-595页

作者： Pei, SC Cheng, CM Department of Electrical Engineering National Taiwan University Taiwan Telecommunication Laboratory Ministry of Communications Taiwan

block truncation coding (ETC) is an efficient tool for image compression, To compress color-pixel blocks, a novel color ETC algorithm, called quaternion-moment block truncation coding (QMBTC), is presented in this paper, Analytical formulas for QMBTC, whose computation time is on the order of pixel block size, are derived by using quaternion arithmetic and the moment-preserving principle, The proposed color ETC algorithm can adaptively truncate a pixel block into one or two output classes according to the distribution of color values inside the blocks, The experimental results show that the compression ratio is increased as compared with existing color ETC algorithms, and the picture quality of reconstructed images is satisfactory, In addition, a post-ETC data compression scheme is proposed to further compress the subimage constructed by reproduction colors of truncated pixel blocks, Using a lookup table to display decoded data, this postprocessing scheme can output images acceptable to human eyes.

关键词： block truncation coding color image compression quaternion-moment-preserving

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High performance reversible data hiding for block truncation coding compressed images

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SIGNAL IMAGE AND VIDEO PROCESSING 2013年第2期7卷 297-306页

作者： Sun, Wei Lu, Zhe-Ming Wen, Yu-Chun Yu, Fa-Xin Shen, Rong-Jun Zhejiang Univ Sch Aeronaut & Astronaut Hangzhou 310027 Zhejiang Peoples R China

Reversible data hiding has been a hot research topic because it can recover both the host media and hidden data without distortion. Because most digital images are stored and transmitted in compressed forms, such as JPEG, vector quantization, and block truncation coding (BTC), the reversible data hiding schemes in compressed domains have been paid more and more attention. Compared with transform coding, BTC has a significantly low complexity and less memory requirement, it therefore becomes an ideal data hiding domain. Traditional data hiding schemes in the BTC domain modify the BTC encoding stage or BTC-compressed data according to the secret bits, and they have a relatively low efficiency and meanwhile may reduce the image quality. This paper presents a novel reversible data hiding scheme based on the joint neighbor coding technique for BTC-compressed images by further losslessly encoding the BTC-compressed data according to the secret bits. First, BTC is performed on the original image to obtain the BTC-compressed data that can be represented by a high mean table, a low mean table, and a bitplane sequence. Then, the secret data are losslessly embedded in both the high mean and low mean tables. Our hiding scheme is a lossless method based on the relation among the current value and the neighboring ones in mean tables. In addition, it can averagely embed 2 bits in each mean value, which increases the capacity and efficiency. Experimental results show that our scheme outperforms three existing BTC-based data hiding works, in terms of the bit rate, capacity, and efficiency.

关键词： Data hiding Reversible data hiding Joint neighbor coding block truncation coding

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A novel color image hiding scheme using block truncation coding

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FUNDAMENTA INFORMATICAE 2006年第4期70卷 317-331页

作者： Hu, Yu-Chen Lin, Min-Hui Jiang, Ji-Han Providence Univ Dept Comp Sci & Informat Engn Taichung 407 433 Taiwan Providence Univ Dept Comp Sci & Informat Management Taichung 407433 Taiwan Natl Formosa Univ Sci & Technol Dept Comp Sci & Informat Engn Yunlin 63208 Taiwan

In this paper, a novel color image hiding scheme that is capable of hiding two color secret images into a color host image is proposed. The secret images to be embedded are first compressed by the single bit map block truncation coding. DES encryption is then conducted on the compressed message before the secret image is embedded into the rightmost 3, 2, 3 bits of the R, G, B channels of every pixel in the host image. The experimental results show that our scheme provides an average secret image quality of 29.220 dB. In addition to the improved quality of both host images and retrieved secret images, our scheme further strengthens the protection of the secret images by conducting image compression and DES encryption on the secret image in advance. Therefore, our scheme not only extends the hiding capability of host images, but also is practical and secure.

关键词： steganography color image hiding block truncation coding DES

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IMPROVING block truncation coding BY LINE AND EDGE INFORMATION AND ADAPTIVE BIT PLANE SELECTION FOR GRAY-SCALE IMAGE COMPRESSION

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PATTERN RECOGNITION LETTERS 1995年第1期16卷 67-75页

作者： YANG, CK TSAI, WH NATL TSING HUA UNIV DEPT COMP & INFORMAT SCIHSINCHU 300TAIWAN MING CHUAN COLL DEPT INFORMAT MANAGEMENTTAIPEITAIWAN

A new approach to improving block truncation coding for gray-scale image compression is proposed. A set of line and edge bit planes is defined independently of input images and adaptively selected to yield lower bit r... 详细信息

关键词： block truncation coding IMAGE COMPRESSION GRAY-SCALE IMAGE ADAPTIVE BIT PLANE SELECTION

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The method for image retrieval based on multi-factors correlation utilizing block truncation coding

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PATTERN RECOGNITION 2014年第10期47卷 3293-3303页

作者： Wang Xingyuan Wang Zongyu Dalian Univ Technol Fac Elect Informat & Elect Engn Dalian 116024 Peoples R China

In this paper, we proposed multi-factors correlation (MFC) to describe the image, structure element correlation (SEC), gradient value correlation (GVC) and gradient direction correlation (GDC). At first, the RGB color space image is converted to a bitmap image and a mean color component image utilizing the block truncation coding (BTC). Then, three correlations will be used to extract the image feature. The structure elements can effectively represent the bitmap which is generated by BTC, and SEC can effectively denote the bitmap's structure and the correlation of the block in the bitmap. GVC and GDC can effectively denote the gradient relation, which is computed by a mean color component image. Formed by SEC, GVC and GDC, the image feature vectors can effectively represent the image. In the end, the results demonstrate that the method has better performance than other image retrieval methods in the experiment. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Content based image retrieval block truncation coding Multi-factors correlation Structure element correlation Gradient value correlation Gradient direction correlation

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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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A FAST NEARLY OPTIMUM EQUI-SPACED 3-LEVEL block truncation coding ALGORITHM

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SIGNAL PROCESSING-IMAGE COMMUNICATION 1994年第5期6卷 397-404页

作者： MOR, I SWISSA, Y MITCHELL, HB ELTA ELECTR IND LTD DIV SIGNAL PROC & COMPASHDODISRAEL BEN GURION UNIV NEGEV DEPT ELECT ENGNIL-84105 BEER SHEVAISRAEL

For a high-quality real-time image compression at moderate bit-rates the equi-spaced 3-level block truncation coding algorithms is an attractive coding method. Unfortunately, the present-day equi-spaced 3-level algorithms are not optimum (in the mean square error sense). In this paper we describe a new equi-spaced 3-level algorithm which is fast and has nearly optimum mean square error.

关键词： block truncation coding IMAGE coding

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