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International Conference on Signals and Electronic Systems (ICSES 2008)

作者： Belgassem, Fituri Rhoma, Elganai Dziech, A. Higher Inst Elect Dept Commun Engn Beni Walid Libya

ISBN: (纸本)9788388309472

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 gray 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

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A novel image coding method based on hybrid fractal

A novel image coding method based on hybrid fractal

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6th World Congress on Intelligent Control and Automation

作者： Sun, Yuge Zhao, Lihong Wang, Yongjun Xu, Xinhe Northeastern Univ Informat Sci & Engn Coll Shenyang 110004 Liaoning Prov Peoples R China

ISBN: (纸本)1424403316

In this paper we present a novel image coding method, which adopts a nonlinear model based on hybrid fractal. we generalize 64 kinds of geometry transformations based on it. The process of selecting Domain block and transforming modes is speeded up by defining eigenvalues. Based on the rapid matching strategy of Range block's Neighborhood, non-matching blocks are coded by truncation coding, and smooth blocks are coded by average coding and three-level qua-tree coding scheme. The compression performance of this method is excellent, especially in coding time.

关键词： nonlinear model fractal block coding block truncation coding range block's neighborhood

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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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A Novel Color Image coding Technique Using Improved BTC with k-means Quad Clustering

A Novel Color Image Coding Technique Using Improved BTC with...

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International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS)

作者： Mathews, Jayamol Nair, Madhu S. Jo, Liza Univ Kerala Dept Comp Sci Thiruvananthapuram 695581 Kerala India Philips Elect India Ltd Bangalore Karnataka India

ISBN: (纸本)9783319049601;9783319049595

A new approach to color image compression on HSV model with good quality of reconstructed images and better compression ratio using Improved block truncation coding algorithm with k-means Quad Clustering (IBTC-KQ) is proposed in this paper. The RGB plane of the color image is transformed into HSV plane in order to reduce the high degree of correlation between the RGB planes. Each HSV plane is then encoded using IBTC-KQ method. The block sizes are chosen based on the information content of the respective plane. The result of the proposed method is compared with that of other BTC based methods on RGB model and it shows a better performance both in the visual quality and compression ratio. Also the proposed method involves only less number of simple computations when compared with other BTC methods.

关键词： Color image compression HSV color model block truncation coding k-means quad clustering

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Design and implementation of power efficient image compressor for WSN systems

Design and implementation of power efficient image compresso...

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International Conference on Advances in Materials Research (ICAMR)

作者： Krishnamoorthy, Raja Jayasankar, T. Shanthi, S. Kavitha, M. Bharatiraja, C. CMR Engn Coll Dept ECE Hyderabad Telangana India Univ Coll Engn Dept Elect & Commun Engn BIT Campus Tiruchirappalli Tamil Nadu India Saveetha Sch Engn Dept Elect & Commun Engn SIMATS Chennai Tamil Nadu India K Ramakrishnan Coll Technol Dept Elect & Commun Engn Tiruchirappalli Tamil Nadu India SRM Inst Sci & Technol Dept Elect & Elect Engn Chennai 603203 TN India

In the digital electronics era, video and image processing, storage, data transmitting, data streaming, data retrieval, video playback features increasing exponentially. These requirements data processing and storage improvement results to necessity of hybrid compression, efficient encoding and decoding, compression ratio techniques in demand for modern real time applications. For that spatial domine technology of compression is prefer to satisfy the computational constraint for real time gadgets. Discrete wavelet transformation (DWT) based Multi-Level block truncation coding (MLBTC) methodology used for special domine. Discrete Wavelet Transform procedure is utilized to constant and motion images and implemented to all mean pixel estimation of the image. Loss type compression technology BTC is implemented for gray scale image processing. It designed that original image divided as square blocks with help of quantize for decrease the gray intensity images every portion of square box having equal standard deviation and Mean values. In this proposed methodology is analysis of BWT-MLBTC image compression technologies for both binary and color images. The methodology has been implemented in Xilinx ISE software, the simulation results shows that the proposed method consumes less hardware resources, delay generations and power utilizations compared to the state of art approaches. (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Advances in Materials Research-2019.

关键词： VLSI block truncation coding Wavelet transformation Based multi-level block truncation coding Image compressor Discrete wavelet transformation

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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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A Hardware-Oriented Image Compression Algorithm Based on BTC and YEF Color Space

A Hardware-Oriented Image Compression Algorithm Based on BTC...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Ke, Shih-Yao Jhou, He-Sheng Chen, Chiung-An Lin, Ting-Lan Abu, Patricia Angela R. Chen, Shih-Lun Chung Yuan Christian Univ Dept Elect Engn Taoyuan Taiwan Ming Chi Univ Technol Dept Elect Engn New Taipei Taiwan Natl Taipei Univ Technol Dept Elect Engn Taipei Taiwan Ateneo Manila Univ Dept Informat Syst & Comp Sci Quezon City Philippines

ISBN: (纸本)9781728197661

This paper proposes a new compression algorithm based on color sampling and block truncation coding (BTC). It is composed of several steps, color sampling, BTC parameter training, threshold selection, sub-sampling, prediction and quantization, and Huffman coding. The color sampling was applied using YEF color space which reduced 34% storage. The subsequent sub-sampling, quantization table prediction, and Huffman coding further increase compression rates. In addition, the BTC parameter training step finds the best reconstruction value for each 4*4 block and bitmap threshold value to improve the image quality. Compared with previously studies, the proposed algorithm shows a better average compression rate.

关键词： YEF Color Space block truncation coding Bit Map Threshold Image Compression Color sampling Huffman coding

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Design of low power VCO using FinFET technology for biomedical applications

Design of low power VCO using FinFET technology for biomedic...

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International Conference on Advances in Materials Research (ICAMR)

作者： Rani, M. Santhosh Vinothkumar, K. Krishnamoorthy, Raja Jayasankar, T. Prakash, N. B. Bharatiraja, C. SRM Inst Sci & Technol Dept Mechatron Engn Kattankulathur Campus Kattankulathur 603203 Tamilnadu India SSM Inst Engn & Technol Dept Elect & Commun Engn Dindigul Tamilnadu India CMR Engn Coll Dept ECE Hyderabad 501401 Telangana India Anna Univ Univ Coll Engn Dept Elect & Commun Engn BIT Campus Tiruchirappalli Tamilnadu India Natl Engn Coll Dept Elect & Elect Engn Kovilpatti Tamilnadu India SRM Inst Sci & Technol Dept Elect & Elect Engn Kattankulathur Campus Kattankulathur 603203 Tamilnadu India

A voltage controlled oscillator (VCO) is one of the most significant essential structure obstructs in simple and advanced circuit (CKT). In Biomedical applications the nature of the biomedical connection is resolved in huge part by the qualities of the VCO and in the present biomedical applications more prominent recurrence goes is required by the VCOs. Generally, VCOs utilizing CMOS innovation have been utilized for low recurrence applications, however 18 nm forms have permitted CMOS oscillators to accomplish frequency in the gigahertz extend. This range is made conceivable with the utilization of programmed swing control. VCO can be fabricated utilizing many CKT strategies. VCO can be built using many CKT techniques. To design improved performance VCO's explicitly low power different techniques using latest cadence software to obtain high density and low leakage current. To optimize and design the VCs, carry out analysis and enhance the performance. To design VCO with four different techniques using latest cadence software, optimize their performance and measure it in cadence software environment. (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Advances in Materials Research-2019.

关键词： VLSI block truncation coding Wavelet transformation Voltage controlled oscillator Biomedical applications

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A Unified Compression and Watermarking Scheme for MT-BTC Images

A Unified Compression and Watermarking Scheme for MT-BTC Ima...

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14th Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA ASC)

作者： Guo, Jing-Ming Seshathiri, Sankara Riniva An Natl Taiwan Univ Sci & Technol Dept Elect Engn Taipei 10607 Taiwan

ISBN: (数字)9786165904773

ISBN: (纸本)9786165904773

As most multimedia is compressed for optimal storage or transmission, the watermarking during compression is more appropriate and demanding. Multi-tone block truncation coding image (MT-BTC) is a latest and superior version of halftone based block truncation coding images. In this paper, a novel watermarking strategy is proposed for MT-BTC images using the adaptive dither array selection (ADAS) and inter-tone shifting. ADAS method utilize dither array constructed using two different gaussian filters based on the Human Visual System (HVS) model to embed the watermark information. Further, various configuration of dither array such as actual, conjugate, transpose and transpose conjugate is used to embed more data. Moreover, a new approach termed inter-tone shifting is also proposed to improve the decoding rate and security. The decoding scheme is performed using the pattern similarity on the dithered watermarked image. For result validation, a 2,4,6 and 8-Tone watermark image is embedded in the 4-Tone MTBTC image. From extensive analysis on decoding rate and robustness, it has been validated that the proposed scheme outperforms many halftone watermarking and consistent with conventional BTC methods.

关键词： block truncation coding Ordered Dithering Multitoning Watermarking Direct Binary Search

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On-chip frame memory reduction using a high-compression-ratio codec in the overdrives of liquid-crystal displays

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OPTICAL ENGINEERING 2010年第11期49卷 117005-117005页

作者： Wang, Jun Min, Kyeong-yuk Chong, Jong-Wha Hanyang Univ Dept Elect & Comp Engn Seoul 133791 South Korea

Overdrive is commonly used to reduce the liquid-crystal response time and motion blur in liquid-crystal displays (LCDs). However, overdrive requires a large frame memory in order to store the previous frame for reference. In this paper, a high-compression-ratio codec is presented to compress the image data stored in the on-chip frame memory so that only 1 Mbit of on-chip memory is required in the LCD overdrives of mobile devices. The proposed algorithm further compresses the color bitmaps and representative values (RVs) resulting from the block truncation coding (BTC). The color bitmaps are represented by a luminance bitmap, which is further reduced and reconstructed using median filter interpolation in the decoder, while the RVs are compressed using adaptive quantization coding (AQC). Interpolation and AQC can provide three-level compression, which leads to 16 combinations. Using a rate-distortion analysis, we select the three optimal schemes to compress the image data for video graphics array (VGA), wide-VGA LCD, and standard definition TV applications. Our simulation results demonstrate that the proposed schemes outperform interpolation BTC both in PSNR (by 1.479 to 2.205 dB) and in subjective visual quality. (C) 2010 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3509370]

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

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