The Experts below are selected from a list of 2055 Experts worldwide ranked by ideXlab platform

Jing-ming Guo - One of the best experts on this subject based on the ideXlab platform.

  • enhanced Block Truncation Coding image using digital multitone screen
    Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017
    Co-Authors: Jing-ming Guo, S Sankarasrinivasan
    Abstract:

    An improved version of Block Truncation Coding (BTC) termed Multitone Block Truncation Coding (MTBTC) is proposed. The presented framework exploits the digital multi toning strategy to obtain a superior quality BTC images. Previously, the halftone techniques such as ordered dithering, error diffusion and dot diffusion are extended to obtain different version of BTC. Though it performs good, there are still many scope for improvements. In recent times digital multitoning is gaining prominence and advanced multitone screens such as direct multibit search and clustered dot screens are developed. This multitone screen can enhance the visual quality significantly and offer more homogenous and noise free output for halftone images. Considering this properties, an upgradation to the halftone based BTC is proposed in this paper through the use of sophisticated multitone screens. From the simulation results, it is concluded that the proposed framework can provide very high quality output than any existing BTC techniques. Another highlighting aspect is that the proposed technique can facilitate higher Block size processing and it is computationally very simple. In overall, the proposed scheme is an ideal candidate to implement compression for high resolution images and can be exploited further to adopt in artificial intelligent tasks.

  • near aperiodic dot diffused Block Truncation Coding
    International Symposium on Circuits and Systems, 2015
    Co-Authors: Yunfu Liu, Jing-ming Guo, Hua Lee
    Abstract:

    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.

  • ICIP - Content-based image retrieval with ordered dither Block Truncation Coding features
    2013 IEEE International Conference on Image Processing, 2013
    Co-Authors: Jing-ming Guo, Heri Prasetyo
    Abstract:

    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.

  • Parallel and element-reduced error-diffused Block Truncation Coding
    IEEE Transactions on Communications, 2010
    Co-Authors: Jing-ming Guo, Chih-yu Lin
    Abstract:

    Block Truncation Coding (BTC) is an efficient compression technique for its inherent simple Coding strategy. However, the annoying Blocking effect and false contour accompanied in high Coding gain configurations make the applications relatively limited compares to some up-to-date compression schemes. For this, Error-Diffused Block Truncation Coding (EDBTC) is proposed to solve these problems and obtain satisfactory results. Unfortunately, the EDBTC sacrifices the parallel advantage of traditional BTC. Moreover, the number of diffused directions of EDBTC can be reduced to obtain higher efficiency. For these, the Interlaced Error-Diffused Block Truncation Coding (IEDBTC) is proposed in this work to claim back the parallel advantage. In addition, the diffused elements are also reduced from four to two with the proposed optimization procedure while preserving the image quality.

  • watermarking in conjugate ordered dither Block Truncation Coding images
    International Symposium on Circuits and Systems, 2009
    Co-Authors: Jing-ming Guo, Yongchuen Kang
    Abstract:

    In this work, a novel method based on Block Truncation Coding (BTC) and halftoning technique is proposed for embedding watermarks into compressed images. Block Truncation Coding is a simple and efficient image compression technique. However, it yields images of unacceptable quality and significant Blocking effects are seen when the Block size used increases. A modified technique known as Ordered Dither Block Truncation Coding (ODBTC) is proposed to solve the above problems while maintaining the same compression capability. In addition, ODBTC can also be used to embed a watermark into the compressed image. This technique incorporates void-and-cluster method with Block Truncation Coding and ordered dithering to carry out watermarking. Experimental results have indicated that the resulting image quality is better and the algorithm less complex as than traditional Block Truncation Coding. Many forms of attacks are also carried out and confirm the robustness of the proposed methods.

Yongchuen Kang - One of the best experts on this subject based on the ideXlab platform.

  • watermarking in conjugate ordered dither Block Truncation Coding images
    International Symposium on Circuits and Systems, 2009
    Co-Authors: Jing-ming Guo, Yongchuen Kang
    Abstract:

    In this work, a novel method based on Block Truncation Coding (BTC) and halftoning technique is proposed for embedding watermarks into compressed images. Block Truncation Coding is a simple and efficient image compression technique. However, it yields images of unacceptable quality and significant Blocking effects are seen when the Block size used increases. A modified technique known as Ordered Dither Block Truncation Coding (ODBTC) is proposed to solve the above problems while maintaining the same compression capability. In addition, ODBTC can also be used to embed a watermark into the compressed image. This technique incorporates void-and-cluster method with Block Truncation Coding and ordered dithering to carry out watermarking. Experimental results have indicated that the resulting image quality is better and the algorithm less complex as than traditional Block Truncation Coding. Many forms of attacks are also carried out and confirm the robustness of the proposed methods.

  • ISCAS - Watermarking in conjugate ordered dither Block Truncation Coding images
    2009 IEEE International Symposium on Circuits and Systems, 2009
    Co-Authors: Jing-ming Guo, Yongchuen Kang
    Abstract:

    In this work, a novel method based on Block Truncation Coding (BTC) and halftoning technique is proposed for embedding watermarks into compressed images. Block Truncation Coding is a simple and efficient image compression technique. However, it yields images of unacceptable quality and significant Blocking effects are seen when the Block size used increases. A modified technique known as Ordered Dither Block Truncation Coding (ODBTC) is proposed to solve the above problems while maintaining the same compression capability. In addition, ODBTC can also be used to embed a watermark into the compressed image. This technique incorporates void-and-cluster method with Block Truncation Coding and ordered dithering to carry out watermarking. Experimental results have indicated that the resulting image quality is better and the algorithm less complex as than traditional Block Truncation Coding. Many forms of attacks are also carried out and confirm the robustness of the proposed methods.

  • Watermarking in conjugate ordered dither Block Truncation Coding images
    Signal Processing, 2009
    Co-Authors: Jing-ming Guo, Yongchuen Kang
    Abstract:

    In this work, a novel method based on Block Truncation Coding (BTC) and halftoning technique is proposed for embedding watermarks into compressed images. BTC is a simple and efficient image compression technique. However, it yields images of unacceptable quality and significant Blocking effects are seen when the Block size used increases. A modified technique known as order dither Block Truncation Coding (ODBTC) is proposed to solve the above problems while maintaining the same compression capability. In addition, ODBTC can also be used to embed a watermark into the compressed image. This technique incorporates void-and-cluster method with BTC and ordered dithering to carry out watermarking. Experimental results have indicated that the resulting image quality is better and the algorithm less complex as than traditional BTC. Many forms of attacks are also carried out and confirm the robustness of the proposed methods.

Bhabatosh Chanda - One of the best experts on this subject based on the ideXlab platform.

  • color image compression based on Block Truncation Coding using pattern fitting principle
    Pattern Recognition, 2007
    Co-Authors: Bibhas Chandra Dhara, Bhabatosh Chanda
    Abstract:

    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 O"1O"2O"3 planes. Each O"i plane (1=

  • Block Truncation Coding using pattern fitting
    Pattern Recognition, 2004
    Co-Authors: Bibhas Chandra Dhara, Bhabatosh Chanda
    Abstract:

    Block Truncation Coding (BTC) divides an image into Blocks having given size and then encodes each Block by two representative gray levels and a bit-pattern. In this work a modified scheme of BTC is proposed where the computed representative gray levels are the bias and the contrast in each Block. Secondly, instead of determining bit-pattern for each Block, an optimum bit-pattern is selected from a pattern-book. Thus the index of the optimum pattern is used to encode in lieu of the explicit pattern. Thirdly, if the contrast is low the Block is assumed to be smooth and bit-pattern is not required to reconstruct the Block. This leads to significant reduction in bit-rate (bpp). Finally, the contrast component and the predictive residual of the bias component are entropy coded to achieve further reduction in bpp. Performance of the proposed scheme is measured in terms of peak-signal-to-noise ratio and bpp, and is compared with other recently reported methods.

Bibhas Chandra Dhara - One of the best experts on this subject based on the ideXlab platform.

  • color image compression based on Block Truncation Coding using pattern fitting principle
    Pattern Recognition, 2007
    Co-Authors: Bibhas Chandra Dhara, Bhabatosh Chanda
    Abstract:

    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 O"1O"2O"3 planes. Each O"i plane (1=

  • Block Truncation Coding using pattern fitting
    Pattern Recognition, 2004
    Co-Authors: Bibhas Chandra Dhara, Bhabatosh Chanda
    Abstract:

    Block Truncation Coding (BTC) divides an image into Blocks having given size and then encodes each Block by two representative gray levels and a bit-pattern. In this work a modified scheme of BTC is proposed where the computed representative gray levels are the bias and the contrast in each Block. Secondly, instead of determining bit-pattern for each Block, an optimum bit-pattern is selected from a pattern-book. Thus the index of the optimum pattern is used to encode in lieu of the explicit pattern. Thirdly, if the contrast is low the Block is assumed to be smooth and bit-pattern is not required to reconstruct the Block. This leads to significant reduction in bit-rate (bpp). Finally, the contrast component and the predictive residual of the bias component are entropy coded to achieve further reduction in bpp. Performance of the proposed scheme is measured in terms of peak-signal-to-noise ratio and bpp, and is compared with other recently reported methods.

Heri Prasetyo - One of the best experts on this subject based on the ideXlab platform.

  • Halftoning-based Block Truncation Coding feature on scrambled images
    2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 2017
    Co-Authors: Heri Prasetyo, Bambang Harjito
    Abstract:

    This paper investigates the usability of Halftoning-based Block Truncation Coding (HBTC) feature for image retrieval. It assumes that all images in database are stored in scrambled/encrypted format. Firstly, an image feature descriptor is derived from the scrambled/encrypted image. This image feature is subsequently converted into the binary representation to achieve fast similarity measurement. The Hamming distance measures the similarity between the query and target images in the bitwise manner. As documented in experimental result, the proposed method gives a promising result on the scrambled/encrypted image retrieval. It demonstrates the superiority of HBTC feature in dealing with scrambled/encrypted image.

  • content based image retrieval using features extracted from halftoning based Block Truncation Coding
    IEEE Transactions on Image Processing, 2015
    Co-Authors: Heri Prasetyo
    Abstract:

    This paper presents a technique for content-based image retrieval (CBIR) by exploiting the advantage of low-complexity ordered-dither Block Truncation Coding (ODBTC) for the generation of image content descriptor. In the enCoding step, ODBTC compresses an image Block into corresponding quantizers and bitmap image. Two image features are proposed to index an image, namely, color co-occurrence feature (CCF) and bit pattern features (BPF), which are generated directly from the ODBTC encoded data streams without performing the deCoding process. The CCF and BPF of an image are simply derived from the two ODBTC quantizers and bitmap, respectively, by involving the visual codebook. Experimental results show that the proposed method is superior to the Block Truncation Coding image retrieval systems and the other earlier methods, and thus prove that the ODBTC scheme is not only suited for image compression, because of its simplicity, but also offers a simple and effective descriptor to index images in CBIR system.

  • content based image retrieval using error diffusion Block Truncation Coding features
    IEEE Transactions on Circuits and Systems for Video Technology, 2015
    Co-Authors: Heri Prasetyo, Jenho Chen
    Abstract:

    This paper presents a new approach to index color images using the features extracted from the error diffusion Block Truncation Coding (EDBTC). The EDBTC produces two color quantizers and a bitmap image, which are further processed using vector quantization (VQ) to generate the image feature descriptor. Herein two features are introduced, namely, color histogram feature (CHF) and bit pattern histogram feature (BHF), to measure the similarity between a query image and the target image in database. The CHF and BHF are computed from the VQ-indexed color quantizer and VQ-indexed bitmap image, respectively. The distance computed from CHF and BHF can be utilized to measure the similarity between two images. As documented in the experimental result, the proposed indexing method outperforms the former Block Truncation Coding based image indexing and the other existing image retrieval schemes with natural and textural data sets. Thus, the proposed EDBTC is not only examined with good capability for image compression but also offers an effective way to index images for the content-based image retrieval system.

  • ICIP - Content-based image retrieval with ordered dither Block Truncation Coding features
    2013 IEEE International Conference on Image Processing, 2013
    Co-Authors: Jing-ming Guo, Heri Prasetyo
    Abstract:

    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.