Error Evaluation Model for 3Dc-Based Normal Map Compression and Its Application to Non-Linear Quantization
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- Yamasaki Toshihiko
- Dept. Information and Communication Engineering, The University of Tokyo
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- Aizawa Kiyoharu
- Dept. Information and Communication Engineering, The University of Tokyo
Bibliographic Information
- Other Title
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- コンピューターグラフィックス 3Dcアルゴリズムに基づくノーマルマップ圧縮の誤差解析とそれに基づく非線形量子化の提案
- 3Dcアルゴリズムに基づくノーマルマップ圧縮の誤差解析とそれに基づく非線形量子化の提案
- 3Dc アルゴリズム ニ モトズク ノーマル マップ アッシュク ノ ゴサ カイセキ ト ソレニ モトズク ヒセンケイ リョウシカ ノ テイアン
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Abstract
Normal mapping is one of the most essential technologies for creating realistic three-dimensional computer graphics. In conventional normal map compression, such as 3Dc, only x and y components are encoded and z components are restored based on the normalizing condition. We describe an intuitively comprehensive error analysis algorithm for this approach that shows the conditions under which the compression error becomes larger. Non-linear quantization algorithms based on a formula for better compression performance than the conventional approaches are also described. Experimental results using 300 normal maps demonstrate that the PSNR is improved by 0.29-0.85 dB. In addition, the quality of rendered images can be improved by 0.76-1.81 dB on average. Our algorithms are compatible with random access and highly parallel processing on GPUs.
Journal
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- The Journal of The Institute of Image Information and Television Engineers
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The Journal of The Institute of Image Information and Television Engineers 62 (9), 1427-1434, 2008
The Institute of Image Information and Television Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390282680074278784
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- NII Article ID
- 110006881301
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- NII Book ID
- AN10588970
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- ISSN
- 18816908
- 13426907
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- NDL BIB ID
- 9636338
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed