• Title/Summary/Keyword: Block Boundary Classification

Search Result 16, Processing Time 0.027 seconds

A Comparative Performance Analysis of Blocking Artifact Reduction Algorithms (블록화 현상 제거 알고리듬의 성능 비교 분석)

  • 소현주;장익훈김남철
    • Proceedings of the IEEK Conference
    • /
    • 1998.10a
    • /
    • pp.907-910
    • /
    • 1998
  • In this paper, we present a comparative performance analysis of several blocking artifact reduction algorithms. For the performance analysis, we propose a block boundary region classification algorithm which classifies each horizontal and vertical block boundary into four regions using brightness change near the block boundary. The PSNR performance of each algorithm is compared. The MSE according to each block boundary region is also compared. Experimental results show that the wavelet transform based blocking artifact reduction algorithms have better performance over the other methods.

  • PDF

Postprocessing Method for Quantization Noise Reduction Using Block Classification and Adaptive Filtering (블록 분류와 적응적 필터링을 이용한 후처리에서의 양자화 잡음 제거 기법)

  • 이석환;권성근;이종원;이승진;이건일
    • Proceedings of the IEEK Conference
    • /
    • 2000.06d
    • /
    • pp.66-69
    • /
    • 2000
  • In this paper, we proposed a postprocessing algorithm for quantization effects reduction in block coded images using the block classification and adaptive filtering. The proposed method consists of classification, adaptive inter-block filtering, and intra-block filtering. First, each block is classified into one of seven classes based on the characteristics of 8${\times}$8 DCT coefficients. Then each block boundary is filtered by adaptive inter-block filters according to the block classification. Finally for blocks which are classified into edge block, intra-block filtering is peformed. Experimental results show that the proposed method gives better results than the conventional methods from both a subjective and an objective viewpoint.

  • PDF

Performance Comparison of Blocking Artifact Reduction Using a Block Boundary Region Classification (블록 경계 영역 분류를 이용한 블록화 현상 제거 기법의 성능 비교)

  • 소현주;장익훈;김남철
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.24 no.10B
    • /
    • pp.1921-1936
    • /
    • 1999
  • In this paper, we analyze the blocking artifact in block transform-coded images and propose a classification algorithm which classifies each horizontal and vertical block boundary into four regions of EQ, BA, EE, and AE according to the characteristics of the blocking artifact. We also compare the performance of several blocking artifact reduction methods which can reduce blocking artifact in block transform-coded images well. As the blocking artifact reduction methods, the LOT, Kim's wavelet transform-based method, Yang's POCS, Paek's POCS, and Jang's CM have been selected. Experimental results show that each horizontal and vertical block boundary classified by using the proposed classification algorithm yields different characteristics of discontinuities due to the blocking artifact according to the classified region. It is also shown that the blocking artifact reduction methods using wavelet transform yield better performance over the other methods.

  • PDF

Quantization Noise Reduction in Block-Coded Video Using the Characteristics of Block Boundary Area (블록 경계 영역 특성을 이용한 블록 부호화 영상에서의 양자화 잡음 제거)

  • Kwon Kee-Koo;Yang Man-Seok;Ma Jin-Suk;Im Sung-Ho;Lim Dong-Sun
    • The KIPS Transactions:PartB
    • /
    • v.12B no.3 s.99
    • /
    • pp.223-232
    • /
    • 2005
  • In this paper, we propose a novel post-filtering algorithm with low computational complexity that improves the visual quality of decoded images using block boundary classification and simple adaptive filter (SAF). At first, each block boundary is classified into smooth or complex sub-region. And for smooth-smooth sub-regions, the existence of blocking artifacts is determined using blocky strength. And simple adaptive filtering is processed in each block boundary area. The proposed method processes adaptively, that is, a nonlinear 1-D 8-tap filter is applied to smooth-smooth sub-regions with blocking artifacts, and for smooth-complex or complex-smooth sub-regions, a nonlinear 1-D variant filter is applied to block boundary pixels so as to reduce the blocking and ringing artifacts. And for complex-complex sub-regions, a nonlinear 1-D 2-tap filter is only applied to adjust two block boundary pixels so as to preserve the image details. Experimental results show that the proposed algorithm produced better results than those of conventional algorithms both subjective and objective viewpoints.

Postprocessing Method for Quantization Noise Reduction Using Block Classification and Adaptive Filtering (블록 분류와 적응적 필터링을 이용한 후처리에서의 양자화 잡음 제거 방법)

  • Lee, Seung-Jin;Lee, Seok-Hwan;Gwon, Seong-Geun;Lee, Jong-Won;Lee, Geon-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.38 no.4
    • /
    • pp.442-452
    • /
    • 2001
  • In this paper, we proposed a postprocessing algorithm for quantization effects reduction in block coded images using the block classification and adaptive filtering. The proposed method consists of classification, adaptive inter-block filtering, and intra-block filtering. First, each block is classified into one of seven classes based on the characteristics of 8$\times$8 DCT coefficients. Then each block boundary is filtered by adaptive inter-block fitters according to the block classification. finally for blocks which are classified into edge block, intra-block filtering is performed. Experimental results show that the proposed method gives better results than the conventional methods from both a subjective and an objective viewpoint.

  • PDF

A Study on Game Contents Classification Service Method using Image Region Segmentation (칼라 영상 객체 분할을 이용한 게임 콘텐츠 분류 서비스 방안에 관한 연구)

  • Park, Chang Min
    • Journal of Service Research and Studies
    • /
    • v.5 no.2
    • /
    • pp.103-110
    • /
    • 2015
  • Recently, Classification of characters in a 3D FPS game has emerged as a very significant issue. In this study, We propose the game character Classification method using Image Region Segmentation of the extracting meaningful object in a simple operation. In this method, first used a non-linear RGB color model and octree color quantization scheme. The input image represented a less than 20 quantized color and uses a small number of meaningful color histogram. And then, the image divided into small blocks, calculate the degree of similarity between the color histogram intersection and adjacent block in block units. Because, except for the block boundary according to the texture and to extract only the boundaries of the object block. Set a region by these boundary blocks as a game object and can be used for FPS game play. Through experiment, we obtain accuracy of more than 80% for Classification method using each feature. Thus, using this property, characters could be classified effectively and it draws the game more speed and strategic actions as a result.

Postprocessing Method for Blocking Artifact Reduction Using Block Classification and Adaptive Filtering (블록 분류와 적응적 필터링을 이용한 후처리에서의 블록화 현상 제거 방법)

  • 이석환;권기구;김병주;이승진;권성근;이건일
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.27 no.6A
    • /
    • pp.592-601
    • /
    • 2002
  • A postprocessing method for blocking artifact reduction in block coded images is presented. The proposed method consists of classification, adaptive inter-block filtering, and intra-block filtering. First, each block is classified as one of seven classes according to the characteristics of 8x8 DCT coefficients. Then each block boundary is faltered by adaptive inter-block filters, which use the block classes. Finally to the blocks which are classified as edge block classes, intra-block filtering is performed. Experimental tests produced that the proposed method gives better results than the convectional methods from both a subjective and an objective viewpoint.

Adaptive Blocking Artifacts Reduction in Block-Coded Images Using Block Classification and MLP (블록 분류와 MLP를 이용한 블록 부호화 영상에서의 적응적 블록화 현상 제거)

  • Kwon, Kee-Koo;Kim, Byung-Ju;Lee, Suk-Hwan;Lee, Jong-Won;Kwon, Seong-Geun;Lee, Kuhn-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.39 no.4
    • /
    • pp.399-407
    • /
    • 2002
  • In this paper, a novel algorithm is proposed to reduce the blocking artifacts of block-based coded images by using block classification and MLP. In the proposed algorithm, we classify the block into four classes based on a characteristic of DCT coefficients. And then, according to the class information of neighborhood block, adaptive neural network filter is performed in horizontal and vertical block boundary. That is, for smooth region, horizontal edge region, vertical edge region, and complex region, we use a different two-layer neural network filter to remove blocking artifacts. Experimental results show that the proposed algorithm gives better results than the conventional algorithms both subjectively and objectively.

Adaptive Error Concealment Technique using a Variable Operating Region Algorithm based on MPEG-4 Coding (연산 영역 가변 알고리즘을 적용한 MPEG-4 부호화 기반의 적응적 오류 은닉 기법)

  • 김병주;권기구;이석환;권성근;김봉석;이건일
    • Journal of Korea Multimedia Society
    • /
    • v.6 no.1
    • /
    • pp.78-88
    • /
    • 2003
  • A novel adaptive error concealment technique is proposed using a variable operating region algorithm based on MPEG-4 coding. In the algorithm, a missing block is classified as flat or edge block based on local information from the surrounding blocks extracted using a Sobel operation in a variable operating region (VOR). In this case, the VOR is determined adaptively according to the number of edge directions in the missing block. 1;sing the classification, the flat blocks are then concealed by the Proposed mean based weighted bilinear interpolation (MWBLI) method, and the edge blocks by the boundary directional interpolation (BDI) method. Consequently, the use of the Proposed VOR improves the subjective performance in a curved edge region, while the adaptive processing based on block classification improves the objective performance. Experimental results confirmed that the proposed algorithm produced better results than conventional algorithms, both subjectively and objectively.

  • PDF

Downtown Area Cadastral Boundary Surveying Using Real-time GPS/GLONASS Combination

  • Seo, Dong-Ju;Kim, Sung-Hwan;Lee, Jong-Chool
    • Korean Journal of Geomatics
    • /
    • v.3 no.1
    • /
    • pp.73-79
    • /
    • 2003
  • To manage national territory and cadastral data efficiently, accuracy and cost-efficiency in cadastral boundary surveying is inevitable. The efficient management of cadastral data is a very important element in national land management. Survey techniques are being introduced. Recently, improvements in survey techniques have been made with the development of satellite surveying, Allowing accurate and fast surveys. If we can calculate the output accurately in real-time in survey fields, it will open a new method in cadastral detail surveying. According to the classification on Law of cadastral surveying, Cadastral surveying can be divided into cadastral control point surveying and cadastral detail surveying. The control point survey can be divided into cadastral triangulation surveying and cadastral traverse surveying. The detailed survey is usually perform by plane surveying. Among these, cadastral detail surveying will be reviewed in this study. In this study, the combination of the satellites, such as US managed GPS and Russian managed GLONASS was used. In the satellite survey in downtown, data interruption symptoms arose(according to the mask angle of the satellite). Therefore; we combined the satellites to get date more accurately. A block of Haewoondae New City in Busan, Korea, which has Numerical Cadastral Law was selected as the sample area for this study. Block II and III are surrounded by high rise apartments. One side of Block I and IV is level ground and the other side is full of high rise apartments. Especially, Block II is surrounded by high rise apartment houses with 20 meters width. In the results of the study Block II did not satisfy the allowable precision, while Block I, II and IV satisfied the allowable precision of the enforcement regulations of Cadastral Law. Therefore, it is judged that the traditionally used Total Station method should be used for supplementary survey on Block II, in stead.

  • PDF