• Title/Summary/Keyword: compression coding

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Multi-Mode BTC Image Compression Algorithm for LCD Overdriving (LCD 오버드라이브를 위한 다중 모드 BTC 영상 압축 알고리즘)

  • Cho, Moonki;Yoon, Yungsup
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.3
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    • pp.67-74
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    • 2015
  • BTC (Block Truncation Coding) image compression is simple to implement by hardware and has excellent edge retention capability of image, image compression techniques are widely used in LCD overdrive. In this paper, to maintain high visual quality and has high compression rate, Multi-Mode BTC (MM-BTC) algorithm is proposed. The MM-BTC has high compression rate using advanced Y-based BTC method and has high visual quality using improved 2-level and 4-level BTC method in this paper. As shown in simulation results, MM-BTC improves still image PSNR (Peak Signal to Noise Ratio) up to 2.34 dB as compared with other algorithms. When the MM-BTC is applied to LCD overdrive, MM-BTC improves moving picture PSNR up to 2.33 dB as compared with other algorithms in literature.

Efficient Wavelet Compression and Decompression System for DVR (DVR을 위한 효율적인 웨이블렛 압축 및 복원 시스템)

  • Kim, Woong;Jung, Gab-Cheon;Ro, Myoung-Jin;Mun, Hyoung-Jin;Park, Seong-Mo;Kim, Young-Min
    • Proceedings of the IEEK Conference
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    • 2000.11d
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    • pp.267-270
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    • 2000
  • In this paper, we describe implementation of efficient wavelet image compression and decompression system for DVR(Digital Video Recoder). We used various methods to remove time redundancy, spatial redundancy and statistical redundancy of video camera inputs. Motion detection, wavelet transform, RLC(Run Length Coding) and huffman coding techniques are combined for efficient compression / decompression.

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Compression Efficiency Evaluation for Virtual Reality Videos by Projection Scheme

  • Kim, Byeong Chul;Rhee, Chae Eun
    • IEIE Transactions on Smart Processing and Computing
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    • v.6 no.2
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    • pp.102-108
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    • 2017
  • Videos for 360-degree virtual reality (VR) systems have a large amount of data because they are made with several different videos from multiple cameras. To store the VR data in limited space or to transmit it through a channel with limited bandwidth, the data need to be compressed at a high ratio. This paper focuses on the compression efficiency of VR videos for good visual quality. Generally, 360-degree VR videos should be projected into the planer format to cope with modern video coding standards. Among various projection schemes, three typical schemes (equirectangular, line-cubic, and cross-cubic) are selected and compared in terms of compression efficiency and quality using various videos.

An Image Data Compression Algorithm for a Home-Use Digital VCR Using SBC with Block-Adaptive Quantization (SBC와 블럭 적응 양자화를 이용한 가정용 디지탈 VCR 영상 압축 알고리듬)

  • 김주희;서정태;박용철;이제형;윤대희
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.9
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    • pp.124-132
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    • 1994
  • An image data compression method for a digital VCR must satisfy special requirements such as high speed playback. various edting capabilities and error concealment to provide immunity to tape dropouts. Taking these requirements requirements into consideration, this paper proposes a new interframe subband coding algorithm for a digital VCR. In the proposed method, continuous input images are fist partitioned into four frequency bands. The lowest frequency subband is coded with 3-D block adaptive quantization that removes the level redundancy within each level. The other higher frequency subbands are coded by an intraframe coding method using the property of the human visual system. To keep reasonable image quality in high speed palyback, a segment forming method in the frequency domaing is also proposed Computer simulation results demonstrate that the proposed algorithm has the potential of achieving virtually lossless compression in normal play and produces an image with less mosaic errors in high speed play.

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Improving JPEG-LS Performance Using Location Information

  • Woo, Jae Hyeon;Kim, Hyoung Joong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.11
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    • pp.5547-5562
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    • 2016
  • JPEG-LS is an international standard for lossless or near-lossless image-compression algorithms. In this paper, a simple method is proposed to improve the performance of the lossless JPEG-LS algorithm. With respect to JPEG-LS and its supplementary explanation, Golomb-Rice (GR) coding is mainly used for entropy coding, but it is not used for long codewords. The proposed method replaces a set of long codewords with a set of shorter location map information. This paper shows how efficiently the location map guarantees reversibility and enhances the compression rate in terms of performance. Experiments have also been conducted to verify the efficiency of the proposed method.

Compression of Electrocardiogram Using MPE-LPC (MPE-LPC를 이용한 심전도 신호의 압축)

  • 이태진;김원기;차일환;윤대희
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.11
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    • pp.866-875
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    • 1991
  • In this paper, multi pulse excited-linear predictive coding (MPE-LPC), where the correlation eliminated residual signal is modeled by a few pules, is shown to be effective for the compression of electrocardiogram (ECG) data, and a more efficient scheme for a faithful reconstruction of ECG is proposed. The reconstruction charateristic of QRS's and P.T waves is improved using the adaptive pulse allocation (APA), and the compression ratio (CR) can be changed by controlling the mumber of modeling pulses. The performance of the proposed method was evaluated using 10 normal and 10 abnormal ECG data. The proposed method had a better performance than the variable threshold amplitude zone time epoch coding (AZTEC) algorithm and the scan-along polygonal approximation (SAPA) algorithm with the same CR. With the CR in kthe range of 8:1 to 14:1, we could compress ECG data efficiently.

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Adaptive Classification of Subimages by the Fuzzy System for Image Data Compression (퍼지시스템에 의한 부영상의 적응분류와 영상데이타 압축에의 적용)

  • Kong, Seong-Gon
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.43 no.7
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    • pp.1193-1205
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    • 1994
  • This paper presents a fuzzy system that adaptively classifies subimages to four classes according to image activity distribution. In adaptive transform image coding, subimage classification improves the compression performance by assigning different bit maps to different classes. A conventional classification method sorts subimages by their AC energy and divides them to classes with equal number of subimages. The fuzzy system provides more flexible classification to natural images with various distribution of image details than does the conventional method. Clustering of training data in the input-output product space generated the fuzzy rules for subimage classification. The fuzzy system of small number of fuzzy rules successfully classified subimages to improve the compression performance of the transform image coding without sorting of AC energies.

A study of Fractal Image Compression with HV partition (HV 분할 방식을 이용한 fractal 영상 압축에 관한 연구)

  • Lee, Moon-Jik;Chung, Chin-Hyun
    • Proceedings of the KIEE Conference
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    • 1998.07g
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    • pp.2240-2242
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    • 1998
  • Image coding based on fractal theory presents highly compressed image. In this paper, we discuss about compression of Image using HV partition method. HV partition scheme devides the image adaptively in horizontal and vertical axis. And for reducing the enconding time for the domain-range comparison, we use classification scheme, which uses the order of brightness of the rectangular portion of the image. This paper focused on the technique to reduce coding time which is a problem in traditional fractal compression by adaptive selection of image and its classification method.

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Fractal Coding Method for Fast Encoding and High Compression (고속 및 고압축을 위한 프랙탈 영상 부호화)

  • 김정일
    • Journal of the Korea Society of Computer and Information
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    • v.5 no.3
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    • pp.64-69
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    • 2000
  • This paper proposes a novel fractal coding method for fast encoding and high compression to shorten time to take on fractal encoding by using limited search area. First. the original image is contracted respectively by half and by quarter with the scaling method and bit-plane method. And then, the corresponding domain block of the quarter-sized image which is most similar with one range block of the half-sized image is searched within the limited area in order to reduce the encoding time extremely. As the result of the evaluation, the proposed algorithm provided much shorter encoding time and better compression ratio with a little degradation of the decoded image qualify than Jacquin's method.

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Performance Improvement of Chroma Intra Prediction (색차채널의 화면 내 예측 성능향상 기술)

  • Park, Jeeyoon;Jeon, Byeungwoo
    • Journal of Broadcast Engineering
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    • v.25 no.3
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    • pp.353-361
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    • 2020
  • VVC (Versatile Video Coding) is a new video compression technique that is being standardized, and it supports HD / UHD / 8K video, and High Dynamic Range (HDR) video with a goal of approximately 2 times higher coding efficiency than the conventional HEVC. It also aims to support a variety of functionalities such as screen content coding, adaptive resolution changes, and independent sub-pictures. In this paper, we investigate the signaling process of intra prediction mode first, and develop an effective coding method of the chroma intra prediction mode. In case of the DM mode, the proposed method simplifies the prediction mode of the chorma intra prediction mode when referring to the angular mode of the luminance block. It can improve coding efficiency of the chroma intra prediction mode, and the proposed process can also consider the size of the block in order to further improve its coding efficiency.