• Title/Summary/Keyword: Block Edge Mask

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A Generation of ROI Mask and An Automatic Extraction of ROI Using Edge Distribution of JPEG2000 Image (JPEG2000 이미지의 에지 분포를 이용한 ROI 마스크 생성과 자동 관심영역 추출)

  • Seo, Yeong Geon;Kim, Hee Min;Kim, Sang Bok
    • Journal of Digital Contents Society
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    • v.16 no.4
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    • pp.583-593
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    • 2015
  • Today, caused by the growth of computer and communication technology, multimedia, especially image data are being used in different application divisions. JPEG2000 that is widely used these days provides a Region-of-Interest(ROI) technique. The extraction of ROI has to be rapidly executed and automatically extracted in a huge amount of image because of being seen preferentially to the users. For this purpose, this paper proposes a method about preferential processing and automatic extraction of ROI using the distribution of edge in the code block of JPEG2000. The steps are the extracting edges, automatical extracting of a practical ROI, grouping the ROI using the ROI blocks, generating the mask blocks and then quantization, ROI coding which is the preferential processing, and EBCOT. In this paper, to show usefulness of the method, we experiment its performance using other methods, and executes the quality evaluation with PSNR between the images not coding an ROI and coding it.

Effective Morphological Layer Segmentation Based on Edge Information for Screen Image Coding (스크린 이미지 부호화를 위한 에지 정보 기반의 효과적인 형태학적 레이어 분할)

  • Park, Sang-Hyo;Lee, Si-Woong
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.38-47
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    • 2013
  • An image coding based on MRC model, a kind of multi-layer image model, first segments a screen image into foreground, mask, and background layers, and then compresses each layer using a codec that is suitable to the layer. The mask layer defines the position of foreground regions such as textual and graphical contents. The colour signal of the foreground (background) region is saved in the foreground (background) layer. The mask layer which contains the segmentation result of foreground and background regions is of importance since its accuracy directly affects the overall coding performance of the codec. This paper proposes a new layer segmentation algorithm for the MRC based image coding. The proposed method extracts text pixels from the background using morphological top hat filtering. The application of white or black top hat transformation to local blocks is controlled by the information of relative brightness of text compared to the background. In the proposed method, the boundary information of text that is extracted from the edge map of the block is used for the robust decision on the relative brightness of text. Simulation results show that the proposed method is superior to the conventional methods.

A Real Time Deblocking Technique Using Adaptive Filtering in a Mobile Environment (모바일 환경에서 적응적인 필터링을 이용한 실시간 블록현상 제거 기법)

  • Yoo, Jae-Wook;Park, Dae-Hyun;Kim, Yoon
    • The Journal of Korean Association of Computer Education
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    • v.13 no.4
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    • pp.77-86
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    • 2010
  • In this paper, we propose a real time post-processing visual enhancement technique to reduce the blocking artifacts in block based DCT decoded image for mobile devices that have allocation of the restricted resource. In order to reduce the blocking artifacts effectively even while preserving the image edge to the utmost, the proposed algorithm uses the deblocking filtering or the directional filtering according to the edge detection of the each pixel. After it is discriminated that the pixel to apply the deblocking filtering belongs again to the monotonous area, the weighted average filter with the adaptive mask is applied for the pixel to remove the blocking artifacts. On the other hand, a new directional filter is utilized to get rid of staircase noise and preserve the original edge component. Experimental results show that the proposed algorithm produces better results than those of the conventional algorithms in both subjective and objective qualities.

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A Technique Getting Fast Masks Using Rough Division in Dynamic ROI Coding of JPEG2000 (JPEG2000의 동적 ROI 코딩에서 개략적인 분할을 이용한 빠른 마스크 생성 기법)

  • Park, Jae-Heung;Lee, Jum-Sook;Seo, Yeong-Geon;Hong, Do-Soon;Kim, Hyun-Joo
    • The KIPS Transactions:PartB
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    • v.17B no.6
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    • pp.421-428
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    • 2010
  • It takes a long time for the users to view a whole image from the image server under the low-bandwidth internet environments or in case of a big sized image. In this case, as there needs a technique that preferentially transfers a part of image, JPEG2000 offers a ROI(Region-of-Interest) coding. In ROI coding, the users see the thumbnail of image from the server and specifies some regions that they want to see first. And then if an information about the regions are informed to the server, the server preferentially transfers the regions of the image. The existing methods requested a huge time to compute the mask information, but this thesis approximately computes the regions and reduces the creating time of the ROI masks. If each code block is a mixed block which ROI and background are mixed, the proper boundary points should be acquired. Searching the edges of the block, getting the two points on the edge, to get the boundary point inside the code block, the method searches a mid point between the two edge points. The proposed method doesn't have a big difference compared to the existing methods in quality, but the processing time is more speedy than the ones.