• 제목/요약/키워드: Bit Image

검색결과 1,026건 처리시간 0.037초

웨이블릿 변환을 이용한 순차적 영상 부호화 (Progressive Image Coding using Wavelet Transform)

  • 김용연
    • 한국전자통신학회논문지
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    • 제9권1호
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    • pp.33-40
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    • 2014
  • 본 논문에서는 웨이블릿 변환 특성을 이용한 대역별 계층적 비트 플레인을 구성, 비트 플레인별로 순차적 전송을 수행하는 새로운 영상 부호화 방법을 제안한다. 제안한 방식은 Antonini의 웨이블릿 기저함수를 사용하여 대역 분할된 영상을 특정대역과 다양한 해상도를 갖는 대역들로 나누어 분리함으로써 다해상도를 지원한다. 대역별 특성을 고려한 부호화의 전송 시 대역별 영상의 우선순위를 고려할 수 있고, 영상의 고속 검색에도 응용될 수 있다.

초저속 전송을 위한 영역간의 대조 차를 이용한 계층적 영상 분할 (Hierarchical Image Segmentation Using Contrast Difference of Neighbor Regions for Very Low Bit Rate Coding)

  • 송근원;김기석;박영식;하영호
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1996년도 학술대회
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    • pp.175-180
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    • 1996
  • In this paper, a new image segmentation method based on merging of two low contrast neighbor regions iteratively is proposed. It is suitable for very low bit rate coding. The proposed method reduces efficiently contour information and preserves subjective and objective image quality. It consists of image segmentation using 4-level hierarchical structure based on mathematical morphology and 1-level region merging structure using the contrast difference of two adjacent neighbor regions. For each segmented region of the third level, two adjacent neighbor regions having low contrast difference value in fourth level based on contrast difference value is merged iteratively. It preserves image quality and shows the noticeable reduction of the contour information, so that it can improve the bottleneck problem of segmentation-based coding at very low bit rate.

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낮은 비트율에서 정지 영상 코딩을 위한 영역 적응 CELP 부호화기 (A region-adaptive CELP image coder for still images at low bit rates)

  • 박용철;차인환;윤대희
    • 전자공학회논문지B
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    • 제32B권12호
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    • pp.1614-1623
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    • 1995
  • In this paper we propose a region-adaptive CELP image coder for still images at low bit rates below 0.5 bpp. The proposed method partitions the image into stochastically similar regions by the minimum spanning tree method and finds prediction coefficients for each region using a 2- dimensional linear prediction model. Coding is carried out on 8$\times$8 blocks and when there are several regions included in a block, an image is synthesized using the prediction coefficients of each region. Computer simulation results show that the proposed method allows improved synthesized image over conventional block-adaptive CELP methods, especially at edges. In addition, performance comparison with the JPEG DCT method shows that while the JPEG method shows block distortion and staircase effects (ragged edges) at bit rates below 0.5 bpp, the proposed CELP method shows improved synthesized images with such effects reduced.

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A Bit Allocation Method Based on Proportional-Integral-Derivative Algorithm for 3DTV

  • Yan, Tao;Ra, In-Ho;Liu, Deyang;Zhang, Qian
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권5호
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    • pp.1728-1743
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    • 2021
  • Three-dimensional (3D) video scenes are complex and difficult to control, especially when scene switching occurs. In this paper, we propose two algorithms based on an incremental proportional-integral-derivative (PID) algorithm and a similarity analysis between views to improve the method of bit allocation for multi-view high efficiency video coding (MV-HEVC). Firstly, an incremental PID algorithm is introduced to control the buffer "liquid level" to reduce the negative impact on the target bit allocation of the view layer and frame layer owing to the fluctuation of the buffer "liquid level". Then, using the image similarity between views is used to establish, a bit allocation calculation model for the multi-view video main viewpoint and non-main viewpoint is established. Then, a bit allocation calculation method based on hierarchical B frames is proposed. Experimental simulation results verify that the algorithm ensures a smooth transition of image quality while increasing the coding efficiency, and the PSNR increases by 0.03 to 0.82dB while not significantly increasing the calculation complexity.

색차 데이터 축소 기법을 사용한 BTC (Block Truncation Coding) 컬러 이미지 압축 (Block Truncation Coding using Reduction Method of Chrominance Data for Color Image Compression)

  • 조문기;윤영섭
    • 대한전자공학회논문지SD
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    • 제49권3호
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    • pp.30-36
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    • 2012
  • BTC 압축은 간단하고 효율적인 압축 알고리즘으로 알려져 있다. 본 논문에서는, 컬러 이미지 압축을 위한 RMC-BTC 알고리즘(RMC : reduction method chrominace data)을 제안한다. RMC-BTC coding은 chrominace data를 축소시키기 위해서, 각 BTC 블록에서, chrominace data를 평균으로 표현하는 방법과, luminance 데이터 의 bit-map을 chrominace 데이터의 bit-map으로 활용하여 chrominace 데이터를 표현하는 방법을 사용하였다. 시뮬레에션 결과는 기존의 BTC 알고리즘의 PSNR과 압축비율의 비교를 통해서, 제안한 알고리즘의 효율성을 확인하였다.

광 암호화를 이용한 안전한 지문 인식 시스템 (Secure Fingerprint Identification System based on Optical Encryption)

  • 한종욱;김춘수;박광호;김은수
    • 한국통신학회논문지
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    • 제24권12B호
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    • pp.2415-2423
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    • 1999
  • We propose a new optical method which conceals the data of authorized persons by encryption before they are stored or compared in the pattern recognition system for security systems. This proposed security system is made up of two subsystems : a proposed optical encryption system and a pattern recognition system based on the JTC which has been shown to perform well. In this system, each image of authorized persons as a reference image is stored in memory units through the proposed encryption system. And if a fingerprint image is placed in the input plane of this security system for access to a restricted area, the image is encoded by the encryption system then compared with the encrypted reference image. Therefore because the captured input image and the reference data are encrypted, it is difficult to decrypt the image if one does not know the encryption key bit stream. The basic idea is that the input image is encrypted by performing optical XOR operations with the key bit stream that is generated by digital encryption algorithms. The optical XOR operations between the key bit stream and the input image are performed by the polarization encoding method using the polarization characteristics of LCDs. The results of XOR operations which are detected by a CCD camera should be used as an input to the JTC for comparison with a data base. We have verified the idea proposed here with computer simulations and the simulation results were also shown.

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BIT SLICE SIGNAL PROCESSOR를 이용한 DCT의 구현 (Implementation of DCT using Bit Slice Signal Processor)

  • 김동록;고석빈;백승권;이태수;민병구
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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    • pp.1449-1453
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    • 1987
  • A microprogrammable Bit Slice Sinal Processor for image processing is implemented. Processing speed is increased by the parallelism in horizontal microprogram using 120bits microcode, pipelined architecture, 2 bank memory switching that interfaces with the Host through DMA, a variable clock control, overflow checking H/W,look-up table method and cache memory. With this processor, a DCT algorithm which uses 2-D FFT is performed. The execution time for $512{\times}512{\times}8$ image is 12 sec when 16 bit operation is runned, and the recovered image has acceptable quality with MSE 0.276%.

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Design of a CMOS Image Sensor Based on a 10-bit Two-Step Single-Slope ADC

  • Hwang, Yeonseong;Song, Minkyu
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제14권2호
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    • pp.246-251
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    • 2014
  • In this paper, a high-speed CMOS Image Sensor (CIS) based on a 10-bit two step Single Slope A/D Converter (SS-ADC) is proposed. The A/D converter is composed of both 5-bit coarse ADC and a 6-bit fine ADC, and the conversion speed is 10 times faster than that of the single-slope A/D convertor. In order to reduce the pixel noise, further, a Hybrid Correlated Double Sampling (H-CDS) is also discussed. The proposed A/D converter has been fabricated with 0.13um 1-poly 4-metal CIS process, and it has a QVGA ($320{\times}240$) resolution. The fabricated chip size is $5mm{\times}3mm$, and the power consumption is about 35 mW at 3.3 V supply voltage. The measured conversion speed is 10 us, and the frame rate is 220 frames/s.

새로운 무손실 의료영상 압축방법 (A new method of lossless medical image compression)

  • 지창우;박성한
    • 한국통신학회논문지
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    • 제21권11호
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    • pp.2750-2767
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    • 1996
  • In this papr, a new lossless compression method is presented based on the Binary Adaptive Arithmetic Coder(BAAC). A simple unbalanced binary tree is created by recursively dividing the BAAC unit interval into two probability sub-inervals. On the tree the More Probable Predicted Value(MPPV) and Less Probable Predicated Value(LPPV) estimated by local statistics of the image pixels are arranged in decreasing order. The BAAC or Huffman coder is thus applied to the branches of the tree. The proposed method allows the coder be directly applied to the full bit-plane medical image without a decomposition of the full bit-planes into a series of binary bit-planes. The use of the full bit model template improves the compresion ratio. In addition, a fast computation for adjusting the interval is possible since a simple arithmetic operation based on probability interval estimation state machine is used for interval sub-division within the BAAC unit interval.

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비트 플레인을 이용한 자동 당뇨망막병증 진단 (Automated Diabetic Retinopathy Diagnosis using Bit-Plane)

  • 전영미;정석찬
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 추계학술대회
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    • pp.124-126
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    • 2021
  • 본 연구에서는 당뇨망막병증 의증 진단을 위해 영상처리 알고리즘을 이용하여 안저영상을 분석하고, 비트 플레인(Bit Plane) 기법을 활용한 당뇨망막병증 질환의 특징인 경성삼출물 및 망막 출혈 등의 특정 부위를 추출한다. 분석된 안저영상을 기반으로 당뇨망막병증의 특징을 수치화하고 자동으로 진단이 가능한 시스템을 제안한다.

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