• Title/Summary/Keyword: Progressive coding

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Progressive Image Coding based on SPIHT Using Object Region Transmission Method by Priority (객체 영역 우선 전송 기법을 이용한 SPIHT기반 점진적 영상 부호화)

  • 최은정;안주원;강경원;권기룡;문광석
    • Proceedings of the IEEK Conference
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    • 2000.11d
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    • pp.53-56
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    • 2000
  • In progressive image coding, if object region that have main contents in image are transmitted prior to the remained region, this method will be very useful. In this paper, the progressive image coding based on SPIHT using object region transmission method by priority is proposed. First, an original image is transformed by wavelet. Median filtering is used about wavelet transformed coefficient region for extracting object region. This extracted object region encoded by SPIHT. Then encoded object region are transmitted in advance of the remained region. This method is good to a conventional progressive image coding about entire original image. Experimental results show that the proposed method can be very effectively used for image coding applications such as internet retrieval and database searching system.

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Progressive Region of Interest Coding Using the Embedded Coding Technifque (임베디드 부호화 기법을 이용한 점진적 관심영역 부호화)

  • 최호중;강의성;다나카도시히사;고성제
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.1B
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    • pp.148-155
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    • 2000
  • In image coding applications such as web browsing and image database searching, it is very useful to quickly view a small portion of the image with higher quality. Region of interest (ROI) coding technique provides the capability to reconstruct the ROI in advance of decompressing the rest of the image, with a smaller number of transmitted bits compared to the case where the entire image is treated with the same priority. In this paper, a progressive ROI coding method using the enbedded coder is presented, and an efficient transmission method for the ROI information. Experimental results show that the proposed progressive ROI coding technique can be effectively used for image coding applications such as web browsing and image database searching system.

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(A Progressive Image Coding by Wavelet Coefficient Property) (웨이브렛 계수 특성을 이용한 점진적 영상 부호화)

  • 장윤업
    • Journal of the Korea Computer Industry Society
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    • v.3 no.9
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    • pp.1287-1294
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    • 2002
  • The algorithm method for progressive image coding based on discrete wavelet transform presented in a paper. After discrete wavelet transform and extract edge information through edge detection, and then designed efficient coding method more then established embedded coding algorithm using expanded EZW algorithm. Generally, edges have a relatively higher influence on image reconstruction. Occurred DWT on image, and can classify significant coefficients and non-significant coefficients. Using property that edge part has appeared significant coefficient in the paper. Especially, we confirmed that higher frequency sub region on DWT image present homogenous direction property. And on embedded coding, which are effective and well-directed information have higher priority to image reconstruction on transmission. Therefore, our technique algorithm system perform better than that of the conventional method such as progressive image coding application.

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Extended JPEG Progressive Coding for Medical Image Archiving and Communication (확장 JPEG 표준을 이용한 점진식 의료 영상 압축)

  • Ahn, Chang-Beom;Han, Sang-Woo;Kim, Il-Yeon
    • Journal of Biomedical Engineering Research
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    • v.15 no.2
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    • pp.175-182
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    • 1994
  • The international standard for digital compression and coding of continuous-tone still image known as JPEG (Joint Photographic Experts Group) standard is investigated for medical image archiving and communication. The JPEG standard has widely been accepted in the areas of electronic image communication, computer graphics, and multimedia applications, however, due to the lossy character of the JPEG compression its application to the field of medical imaging has been limited. In this paper, the JPEG standard is investigated for medical image compression with a series of head sections of magnetic resonance (MR) images (256 and 4096 graylevels, $256 {\times}256$size). Two types of Huffman codes are employed, i. e., one is optimized to the image statistics to be encoded and the other is a predetermined code, and their coding efficiencies are examined. From experiments, compression ratios of higher than 15 were obtained for the MR images without noticeable distortion. Error signal in the reconstructed images by the JPEG standard appears close to random noise. Compared to existing full-frame bit-allocation technique used for radiological image compression, the JPEG standard achieves higher compression with less Gibb's artifact. Feature of the progressive image build-up of the JPEG progressive coding may be useful in remote diognosis when data is transmitted through slow public communication channel.

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A Lossless Coding Scheme for Progressive Transmission of Medical Images (의료 영상의 순차전송을 위한 무손실 부호화 기법)

  • 김효준;송준석;이승준;김종효;이충웅
    • Journal of Biomedical Engineering Research
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    • v.18 no.4
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    • pp.349-356
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    • 1997
  • In this paper, we propose the lossless coding: scheme for progressive transmission of medical images. The input image is decomposed by the proposed fast adaptive subband decomposition method which is suited for a lossless coding. The decomposed images are coded by an arithmetic coder with two conditioning pixels, and the conditioning pixels are selected differently according to the property of the subbands. The conditioning contexts are usually quantized to reduce the conditional state, and the optimization method of quantization is proposed For the purpose of improving compression ratio in this paper. The proposed lossless coding scheme provides the asymmetric structure of cosec and results in better compression ability than the JPEC lossless coding[ 1 ].

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S-Octree: An Extension to Spherical Coordinates

  • Park, Tae-Jung;Lee, Sung-Ho;Kim, Chang-Hun
    • Journal of Korea Multimedia Society
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    • v.13 no.12
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    • pp.1748-1759
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    • 2010
  • We extend the octree subdivision process from Cartesian coordinates to spherical coordinates to develop more efficient space-partitioning structure for surface models. As an application of the proposed structure, we apply the octree subdivision in spherical coordinates ("S-Octree") to geometry compression in progressive mesh coding. Most previous researches on geometry-driven progressive mesh compression are devoted to improve predictability of geometry information. Unlike this, we focus on the efficient information storage for the space-partitioning structure. By eliminating void space at initial stage and aligning the R axis for the important components in geometry information, the S-Octree improves the efficiency in geometry information coding. Several meshes are tested in the progressive mesh coding based on the S-Octree and the results for performance parameters are presented.

Image Coding Using Goabor Transform (Gabor 변화에 의한 영상부호화)

  • 도윤미;김남철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.11
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    • pp.1103-1116
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    • 1991
  • The characteristics of transform coefficients of discrete Gabor transform and the performances of their progressive coding are investiganted. The adaptive transform coding SAC is used for the progressive transmission. Exprerimental results show that although DGT has relatively low energy compaction property and coding efficiency, it yields good quality with greaty reduced block artifact and good edge at each stage of the progressive transmission.

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Progressive Image Transmission Using Hierarchical Pyramid Structure and Classified Vector Quantizer in DCT Domain (계층적 피라미드 구조와 DCT 영역에서의 분류 벡터 양지기를 이용한 점진적 영상전송)

  • 박섭형;이상욱
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.8
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    • pp.1227-1237
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    • 1989
  • In this paper, we propose a lossless progressive image transmission scheme using hierarchical pyramid structure and classified vector quantizer in DCT domain. By adopting DCT to the hierarchical pyramid signals, we can reduce the spatial redundance. Moreover, the DCT coefficients can be encoded efficiently by using classified vector quantizer in DCT domain. The classifier is simply based on the variance of a subblock. Also, the mirror set of training set of images can improve the robustness of codebooks. Progressive image transmission can be achieved through following processes: from top to bottom level of planes in a pyramid, and from high to low AC variance class in a plane. Some simulation results with real images show that the proposed coding scheme yields a good performance at below 0.3 bpp and an excellent result at 0.409 bpp. The proposed coding scheme is well suited for lossless progressive image transmission as well as image data compression.

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A Progressive DCT Image Coding by Non-sequential Bit Ordering (비순차적 비트 정렬에 의한 점진적인 DCT 영상 부호화)

  • 김종훈;채종길;심영석
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.3
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    • pp.69-79
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    • 1994
  • DCT image coding has been well known for its compression efficiency. Its nature makes it also suitable for efficient progressive transmission and reconstruction since low frequency transform coefficients contain most of the energy of image signals. In this paper, we propose a progressive transmission technique of DCT image by non-sequential bit ordering using Lloyd-Max quantizer. And then, we will show that the Lloyd-Max quantizer can be embedded quantization. In simulation results, the proposed method show better subjective picture and MSE of the reconstructed image than the conventional zig-zag scanning transmission of transform coefficients.

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A progressive image transmission system based on wavelet (웨이브렛 기반 점진적 영상 전송 시스템)

  • 윤국진;조숙희;안충현
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.263-266
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    • 2003
  • In this paper, we propose a new progressive image transmission system including the image coding scheme that efficiently uses the relationship between the properties of a spatial image and its wavelet transform. Firstly, an original image is decomposed into several layers by the wavelet transform, and simultaneously decomposed into 2"x2" blocks. Each image is classified into two image types according to the standard deviations of its blocks. And then each block is categorized into two regions by different thresholds according to the image types, i.e., significant activity region (SAR) and insignificant activity region (IAR). Simulation results show that the proposed coding method has better performance than the EZW and SPIHT in terms of image quality and transmitted bit-rate. In addition, it can be applied to the applications requiring the progressive image transmission.nsmission.

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