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Probability-based Tamper Detection Scheme for BTC-compressed Images Based on Quantization Levels Modification

INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS 2013年第3期7卷 11-31页

作者： Hui, Yu -Chen Lo, Chun -Chi Wu, Chang -Ming Chen, Wu -Lin Wen, Chia-Hsien Providence Univ Dept Comp Sci & Informat Management 200 Chung Chi Rd Taichung 43301 Taiwan Providence Univ Dept Comp Sci & Informat Engn 200 Chung Chi Rd Taichung 43301 Taiwan Chung Yuan Christian Univ Dept Elect Engn Chungli 32023 Taiwan

To protect the image integrity of the compressed images for block truncation coding (BTC), an image authentication scheme is proposed in this paper. In this scheme, the authentication data of each compressed image block is generated from the random value induced by the predefined random seed. The size of the authentication data can be selected according to the user's requirement. Then, the authenticaiton data is embedded into the difference value between the quantization levels of each BTC-compressed image block. The experimental results reveal that the proposed scheme performs well in terms of detection precision and the embedded image quality.

关键词： image authentication tamper detection block truncation coding fragile watermarking

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Image Retrieval Based on Color and Texture 3

Image Retrieval Based on Color and Texture

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3rd International Conference on Computer Science and Network Technology (ICCSNT)

作者： Wang, Guolei Sun, Junding Henan Polytech Univ Sch Comp Sci & Technol Jiaozuo Peoples R China

ISBN: (纸本)9781479905614

A novel image retrieval algorithm based on color and texture is presented in the paper. Firstly, the entropy of each color component is computed as color feature based on block truncation coding (BTC). Then, the traditional gray level co-occurrence matrix (GLCM) is extended to neighbor statistic moment level co-occurrence matrix (MLCM), and then the texture feature is extracted based on MLCM. Finally, the weighted color and texture feature are fused together for image retrieval. Experimental results show that the proposed method get higher performance than the other methods mentioned in the paper.

关键词： content-based image retrieval block truncation coding neighbor statistic MLCM

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Modified BTC Algorithm for Gray Scale Images using max-min Quantizer

Modified BTC Algorithm for Gray Scale Images using max-min Q...

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IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing (iMac4s)

作者： Mathews, Jayamol Nair, Madhu S. Jo, Liza Univ Kerala Dept Comp Sci Thiruvananthapuram 695034 Kerala India Intellectual Property & Rights Div Philips Innovat Campus Bangalore Karnataka India

ISBN: (纸本)9781467350907;9781467350891

With the emerging multimedia technology, image data has been generated at high volume. It is thus important to reduce the image file sizes for storage and effective communication. block truncation coding (BTC) is a lossy image compression technique which uses moment preserving quantization method for compressing digital gray level images. Even though this method retains the visual quality of the reconstructed image with good compression ratio, it shows some artifacts like staircase effect, raggedness, etc. near the edges. A set of advanced BTC variants reported in literature were studied and it was found that though the compression efficiency is good, the quality of the image has to be improved. A modified block truncation coding using max-min quantizer (MBTC) is proposed in this paper to overcome the above mentioned drawbacks. In the conventional BTC, quantization is done based on the mean and standard deviation of the pixel values in each block. In the proposed method, instead of using the mean and standard deviation, an average value of the maximum, minimum and mean of the blocks of pixels is taken as the threshold for quantization. Experimental analysis shows an improvement in the visual quality of the reconstructed image by reducing the mean square error between the original and the reconstructed image. Since this method involves less number of simple computations, the time taken by this algorithm is also very less when compared with BTC.

关键词： Image compression Lossy compression block truncation coding

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Image progressive transmission by quadtree and block truncation coding

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The Journal of Photographic Science 2008年第3期56卷 153-162页

A novel progressive image transmission scheme that is capable of achieving good reconstructed image quality at a low computational cost is proposed. The quadtree segmentation technique is employed to exploit the spatial similarity among neighbouring pixels. Besides, the mean values and the absolute moment block truncation coding with bit plane omission are used to encode smooth blocks and complex blocks respectively. By choosing suitable controlling thresholds in the quadtree segmentation technique, multiple stages of reconstructed images can be obtained at low bit rates.

关键词： PROGRESSIVE IMAGE TRANSMISSION IMAGE COMPRESSION QUADTREE SEGMENTATION TECHNIQUE block truncation coding

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Modified BTC Algorithm for Gray Scale Images using max-min Quantizer

Modified BTC Algorithm for Gray Scale Images using max-min Q...

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International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing

作者： Jayamol Mathews Madhu S. Nair Liza Jo Department of Computer Science University of Kerala Kariavattom Thiruvananthapuram Kerala India Intellectual Property and Rights Division Philips Innovation Campus Bangalore India

ISBN: (纸本)9781467350891

With the emerging multimedia technology, image data has been generated at high volume. It is thus important to reduce the image file sizes for storage and effective communication. block truncation coding (BTC) is a lossy image compression technique which uses moment preserving quantization method for compressing digital gray level images. Even though this method retains the visual quality of the reconstructed image with good compression ratio, it shows some, artifacts like staircase effect, raggedness, etc. near the edges. A set of advanced BTC variants reported in literature were studied and it was found that though the compression efficiency is good, the quality of the image has to be improved. A modified block truncation coding using max-min quantizer (MBTC) is proposed in this paper to overcome the above mentioned drawbacks. In the conventional BTC, quantization is done based on the mean and standard deviation of the pixel values in each block. In the proposed method, instead of using the mean and standard deviation, an average value of the maximum, minimum and mean of the blocks of pixels is taken as the threshold for quantization. Experimental analysis shows an improvement in the visual quality of the reconstructed image by reducing the mean square error between the original and the reconstructed image. Since this method involves less number of simple computations, the time taken by this algorithm is also very less when compared with BTC.

关键词： Image compression Lossy compression block truncation coding

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2012年第4期58卷 1276-1284页

作者： Park, Jincheol Lee, Sanghoon Yonsei Univ Dept Elect & Elect Engn Seoul 120749 South Korea

In order to utilize the liquid crystal display (LCD) overdrive technique, it is necessary to store the previous frame in frame memory and compress the frame to reduce the memory burden, in particular, when the frame size is large. When an image is displayed in the LCD, the motion blur mainly occurs near the edge, so that structural information is very important when compressing the image. Recently, a structural similarity (SSIM) index has been proposed to measure the quality based on the image structure. In this paper, we propose an image compression and adaptive mode selection algorithm for maximizing the SSIM performance. In the simulation results, we compare our results with conventional schemes and demonstrate that the SSIM based scheme provides a significant performance improvement.(1)

关键词： LCD overdrive technique overdrive block truncation coding structural similarity variable block size

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Reversible data hiding in low complexity and high quality compression scheme

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DIGITAL SIGNAL PROCESSING 2012年第5期22卷 776-785页

作者： Guo, Jing-Ming Tsai, Jia-Jin Natl Taiwan Univ Sci & Technol Dept Elect Engn Taipei Taiwan

Nowadays, most multimedia is stored in compressed bit stream format to save the storage space or transmission time. This study proposes a novel technique for embedding flexible amounts of data in the bit map of the improved Ordered Dither block truncation coding (ODBTC) image, where the ordered dithering is used to dither the quantized BTC image to avoid the annoying false contour and blocking effect inherently existed in BTC image. Moreover, the LUT strategy is also used to significantly reduce the complexity. The cell averaging and the second round of dithering are employed as the key steps in locating the embedded information bits. Experimental results demonstrate that an objective good quality image with flexible capacity and reasonable complexity is obtained. Moreover, the correct decoding rate of 100% is maintained, and the original host ODBTC image can also be reconstructed in the decoder when needed, which significantly boosts the flexibility in image quality control. (C) 2012 Elsevier Inc. All rights reserved.

关键词： block truncation coding Ordered dithering False contour blocking effect Halftoning Data hiding

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An oblivious fragile watermarking scheme for images utilizing edge transitions in BTC bitmaps

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Science China(Information Sciences) 2012年第11期55卷 2570-2581页

作者： ZHANG Yong1,LU ZheMing2 & ZHAO DongNing1 1ATR National Defense Technology Key Laboratory,College of Information Engineering,Shenzhen University,Shenzhen 518060,China 2School of Aeronautics and Astronautics,Zhejiang University,Hangzhou 310027,China 1. ATR National Defense Technology Key Laboratory College of Information Engineering Shenzhen University Shenzhen 518060 China2. School of Aeronautics and Astronautics Zhejiang University Hangzhou 310027 China

As one of the famous block-based image coding schemes,block truncation coding(BTC) has been also applied in digital *** BTC-based watermarking or hiding schemes usually embed secret data by modifying the BTC encoding stage or BTC-compressed data,obtaining the watermarked image with poorer quality than the BTC-compressed *** paper presents a new oblivious image watermarking scheme by exploiting BTC *** the traditional schemes,our approach does not really perform the BTC compression on images during the embedding process but utilizes the parity of the number of horizontal edge transitions in each BTC bitmap to guide the watermark embedding and extraction *** embedding process starts by partitioning the original cover image into non-overlapping 4×4 blocks and performing BTC on each block to obtain its BTC *** watermark bit is embedded in each block by modifying at most three pixel values in the block to make sure that the parity of the number of horizontal edge transitions in the bitmap of the modified block is equal to the embedded watermark *** the extraction stage,the suspicious image is first partitioned into non-overlapping 4×4 blocks and BTC is performed on each block to obtain its ***,by checking the parity of the number of horizontal edge transitions in the bitmap,we can extract one watermark bit in each *** results demonstrate that the proposed watermarking scheme is fragile to various image processing operations while keeping the transparency very well.

关键词： fragile image watermarking oblivious watermarking block truncation coding data hiding image authentication

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block truncation coding using a set of predefined bit planes

Block truncation coding using a set of predefined bit planes

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7th International Conference on Computational Intelligence and Multimedia Applications

作者： Amarunnishad, T. M. Govindan, V. K. Mathew, Abraham T. NIT Dept Elect Engn Calicut Kerala India

ISBN: (纸本)0769530508

A simple and easy to implement method to improve the block truncation coding (BTC) is proposed for image compression. A set of predefined bit planes is defined independently of the images to be encoded. The bit rate is considerably reduced by encoding the index of the predefined bit planes using Huffman encoding. Experimental results show that at lower bit rate the proposed method provides acceptable visual quality reconstructed images.

关键词： image compression block truncation coding bit rate peak signal to noise ratio

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Color image compression based on block truncation coding using pattern fitting principle

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PATTERN RECOGNITION 2007年第9期40卷 2408-2417页

作者： Dhara, Bibhas Chandra Chanda, Bhabatosh Jadavpur Univ Dept Informat Technol Kolkata 700098 W Bengal India Indian Stat Inst Elect & Commun Sci Unit Kolkata 700108 W Bengal India

This paper describes a color image compression technique based on block truncation coding using pattern fitting (BTC-PF). High degree of correlation between the RGB planes of a color image is reduced by transforming them to O1O2O3 planes. Each O-i plane (1 <= i <= 3) is then encoded using BTC-PF method. Size of the pattern book and the block size are selected based on the information content of the corresponding plane. The result of the proposed method is compared with that of several BTC based methods and the former is found superior. Though this method is a spatial domain technique, it is also compared with JPEG compression method, which is one of most popular frequency domain techniques. It is found that the performance of the proposed method is a little inferior to that of the JPEG in terms of quality of the reconstructed image. Decoding time is another important criterion where the compressed image is decoded frequently for various purposes. As the proposed method requires negligible decoding time compared to JPEG, the former is preferred over the latter in those cases. (c) 2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

关键词： block truncation coding color image compression image fidelity index pattern fitting reversible color transformation

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