• Title/Summary/Keyword: Measurement Coding

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Measurement Coding for Compressive Sensing of Color Images

  • Dinh, Khanh Quoc;Trinh, Chien Van;Nguyen, Viet Anh;Park, Younghyeon;Jeon, Byeungwoo
    • IEIE Transactions on Smart Processing and Computing
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    • v.3 no.1
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    • pp.10-18
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    • 2014
  • From the perspective of reducing the sampling cost of color images at high resolution, block-based compressive sensing (CS) has attracted considerable attention as a promising alternative to conventional Nyquist/Shannon sampling. On the other hand, for storing/transmitting applications, CS requires a very efficient way of representing the measurement data in terms of data volume. This paper addresses this problem by developing a measurement-coding method with the proposed customized Huffman coding. In addition, by noting the difference in visual importance between the luma and chroma channels, this paper proposes measurement coding in YCbCr space rather than in conventional RGB color space for better rate allocation. Furthermore, as the proper use of the image property in pursuing smoothness improves the CS recovery, this paper proposes the integration of a low pass filter to the CS recovery of color images, which is the block-based ${\ell}_{20}$-norm minimization. The proposed coding scheme shows considerable gain compared to conventional measurement coding.

A New Effective Measure of the Block Effect in Still Images and Moving Pictures (정지영상 및 동영상에서의 효율적인 블록효과 측정방법)

  • 김문성;정진구
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.4
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    • pp.102-107
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    • 2002
  • Compression coding based on block coding has been applied in image and video compression standard. But there is no block effect measurement due to block based image coding. In this paper, we propose a objective block effects measurement to reconstructed image using subblock DCT coding. Experimental results show that the block effects measures given by the suggested method agree well with the subjective ranking. This new objective measurement is simple and effective in measuring the block effect in the reconstructed image.

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Fractal Depth Map Sequence Coding Algorithm with Motion-vector-field-based Motion Estimation

  • Zhu, Shiping;Zhao, Dongyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.1
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    • pp.242-259
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    • 2015
  • Three-dimensional video coding is one of the main challenges restricting the widespread applications of 3D video and free viewpoint video. In this paper, a novel fractal coding algorithm with motion-vector-field-based motion estimation for depth map sequence is proposed. We firstly add pre-search restriction to rule the improper domain blocks out of the matching search process so that the number of blocks involved in the search process can be restricted to a smaller size. Some improvements for motion estimation including initial search point prediction, threshold transition condition and early termination condition are made based on the feature of fractal coding. The motion-vector-field-based adaptive hexagon search algorithm on the basis of center-biased distribution characteristics of depth motion vector is proposed to accelerate the search. Experimental results show that the proposed algorithm can reach optimum levels of quality and save the coding time. The PSNR of synthesized view is increased by 0.56 dB with 36.97% bit rate decrease on average compared with H.264 Full Search. And the depth encoding time is saved by up to 66.47%. Moreover, the proposed fractal depth map sequence codec outperforms the recent alternative codecs by improving the H.264/AVC, especially in much bitrate saving and encoding time reduction.

Multi-Description Image Compression Coding Algorithm Based on Depth Learning

  • Yong Zhang;Guoteng Hui;Lei Zhang
    • Journal of Information Processing Systems
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    • v.19 no.2
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    • pp.232-239
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    • 2023
  • Aiming at the poor compression quality of traditional image compression coding (ICC) algorithm, a multi-description ICC algorithm based on depth learning is put forward in this study. In this study, first an image compression algorithm was designed based on multi-description coding theory. Image compression samples were collected, and the measurement matrix was calculated. Then, it processed the multi-description ICC sample set by using the convolutional self-coding neural system in depth learning. Compressing the wavelet coefficients after coding and synthesizing the multi-description image band sparse matrix obtained the multi-description ICC sequence. Averaging the multi-description image coding data in accordance with the effective single point's position could finally realize the compression coding of multi-description images. According to experimental results, the designed algorithm consumes less time for image compression, and exhibits better image compression quality and better image reconstruction effect.

On a study on PSOLA coding technique based on the measurement of formant similarity (포만트 유사도 측정에 의한 PSOLA 음성 부호화에 관한 연구)

  • 나덕수;이희원;김규홍;배명진
    • Proceedings of the IEEK Conference
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    • 1998.06a
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    • pp.607-610
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    • 1998
  • The major objectives of speech coding include high compression ratio for transmission in the band limited channel, high synthesized speech quality in terms of the intelligibility and the naturalness and fast processing speed. In general, speech coding methods are classified into the following three categories: the wavelform coding, the source coding and the hybird coding. In this paper, we proposed a new waveform coding method using PSOLA(pitch-synchronous overlap add) technique. First, we fixed one basic waveform per pitch and measured the formant similarity between basic and neighbor waveform. Second, if the similairy satisfied threshold values, we compress the neighbor waveform per pitch and then store or transmit. When the comparession is about 45%, we obtained about 4 in MOS.

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Parallel Deblocking Filter Based on Modified Order of Accessing the Coding Tree Units for HEVC on Multicore Processor

  • Lei, Haiwei;Liu, Wenyi;Wang, Anhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.3
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    • pp.1684-1699
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    • 2017
  • The deblocking filter (DF) reduces blocking artifacts in encoded video sequences, and thereby significantly improves the subjective and objective quality of videos. Statistics show that the DF accounts for 5-18% of the total decoding time in high-efficiency video coding. Therefore, speeding up the DF will improve codec performance, especially for the decoder. In view of the rapid development of multicore technology, we propose a parallel DF scheme based on a modified order of accessing the coding tree units (CTUs) by analyzing the data dependencies between adjacent CTUs. This enables the DF to run in parallel, providing accelerated performance and more flexibility in the degree of parallelism, as well as finer parallel granularity. We additionally solve the problems of variable privatization and thread synchronization in the parallelization of the DF. Finally, the DF module is parallelized based on the HM16.1 reference software using OpenMP technology. The acceleration performance is experimentally tested under various numbers of cores, and the results show that the proposed scheme is very effective at speeding up the DF.

An Analysis of the Complexity Measurement Factor for a Program (프로그램에 대한 복잡도 측정인자 분석)

  • 이규범;송정영
    • Journal of Internet Computing and Services
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    • v.3 no.4
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    • pp.61-69
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    • 2002
  • Measurement of the object, messages, clones, capsulation, inheritance, etc. that are conventional object-oriented paradigm characteristics as a method of measurement of the complexity of object-oriented programs has been reported. In this paper, the measures that are helpful to designing and coding of JAVA program, which is the representative language of object-oriented programs, are applied to six measures(i,e., Halstead's Program Volume, Program Level, Program Impurity, Macabe's Cyclomatic Number, Handerson-Seller's lock of cohesion in method and Sullivan's PVG.) suggested in the present study by referring to several actual programs as example for comparative analysis.

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A Study on the Applicability of Facial Action Coding System for Product Design Process (제품 디자인 프로세스를 위한 표정 부호화 시스템(FACS) 적용성에 대한 연구)

  • Huang, Chao;Go, Jung-Wook
    • The Journal of the Korea Contents Association
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    • v.19 no.3
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    • pp.80-88
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    • 2019
  • With more emphasis on emotional communication with users in product design field, designers' clear and prompt grasp of user's emotion has become the core activity in product design research. To increase the flexibility applying emotion measurement in the process of product design, this study has used Facial Action Coding System (FACS) of behavioral emotion measurement method in product design evaluation. To select specimens, it has flexibly used the emotional product Image Map. Then this study has selected six product irritants inducing positive, negative and neutral emotions, and conducted FACS experiment with ordinary product users of 20 generations as the experimental subject, and analyzed users' emotional state in response to the irritants through their facial expressions. It also analyzes the advantages and disadvantages of FACS in the process of product design, such as "recording users' unconscious facial expressions" and puts forward some applicable schemes, such as "choosing a product stimulus with high user response". It is expected that this paper can be helpful to the flexibility of FACS as a method to predict user's emotion in advance at the trial stage of product design before launching them to the market.

Image Coding of Visually Weighted t Discrete Cosine Transform (시각 하중 이산여현변환 영상부호화)

  • 이문호;박주용
    • Journal of the Korean Professional Engineers Association
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    • v.22 no.2
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    • pp.19-25
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    • 1989
  • Utilizing a cosine transform in image compression has several recognized performance benefits, resulting in the ability to attain large compression ratio with small quality loss. Also, various models incorporating Human Visual System (HVS) to Discrete Cosine Trans-form (DCT) scheme are considered. Using the exact frequency components of DCT basis function, the optimum modulation transfer function (MTF) is obtained analytically. The errors at a block boundary which is important factor in transform coder are criteria for error measurement. The HVS weight coding results in perceptually higher quality images compared with the unweighted scheme.

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Objective Image Quality Metric for Block-Based DCT Image Coder Using Structural Distortion Measurement (구조적 왜곡특성 측정을 이용한 블록기반 DCT 영상 부호화기의 객관적 화질평가)

  • Chung Tae-Yun
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.52 no.7
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    • pp.434-441
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    • 2003
  • This paper proposes a new quantitative and objective image quality metric which is essential to verify the performance of block-based DCT image coding. The proposed metric considers not only global distortion of coded image such as spatial frequency sensitivity and channel masking using HVS based multi-channel model, but also structural distortions caused block-based coding. The experimental results show a strong correlation between proposed metric and subjective metric.