• Title/Summary/Keyword: 비균등 영역분할 양자화

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Enhancement Method of Depth Accuracy in DIBR-Based Multiview Image Generation (다시점 영상 생성을 위한 DIBR 기반의 깊이 정확도 향상 방법)

  • Kim, Minyoung;Cho, Yongjoo;Park, Kyoung Shin
    • KIPS Transactions on Computer and Communication Systems
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    • v.5 no.9
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    • pp.237-246
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    • 2016
  • DIBR (Depth Image Based Rendering) is a multimedia technology that generates the virtual multi-view images using a color image and a depth image, and it is used for creating glasses-less 3-dimensional display contents. This research describes the effect of depth accuracy about the objective quality of DIBR-based multi-view images. It first evaluated the minimum depth quantization bit that enables the minimum distortion so that people cannot recognize the quality degradation. It then presented the comparative analysis of non-uniform domain-division quantization versus regular linear quantization to find out how effectively express the accuracy of the depth information in same quantization levels according to scene properties.

A Study on Depth Map Quantization for Multiview Image Generation (다시점 입체 영상 생성을 위한 깊이 지도 양자화 방법 연구)

  • Choi, Ji-Young;Chun, Su-Min;Cho, Yongjoo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.635-636
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    • 2013
  • In this research, a method that quantize the depth information to improve the quality of the intermediate view images when DIBR (Depth Image Based Rendering) is used. This paper specially describes the uniform quantization that divides the depth information equally and non-uniform quantization that allocates more depth information in certain areas to improve the quality of the area.

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