Computational Photography by Bilateral Image Processing

2015 Fiscal Year Final Research Report

• Project/Area Number: 24500208
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Perception information processing/Intelligent robotics
• Research Institution: Kyushu University
• Principal Investigator: Urahama Kiichi 九州大学, 芸術工学研究科(研究院), 教授 (10150492)
• Co-Investigator(Kenkyū-buntansha): HARA KENJI 九州大学, 大学院芸術工学研究院, 准教授 (50380712) ; INOUE KOUHEI 九州大学, 大学院芸術工学研究院, 准教授 (70325570)
• Project Period (FY): 2012-04-01 – 2016-03-31
• Keywords: コンピュテーショナルフォトグラフィ / ノンフォトリアリスティックレンダリング / バイラテラルフィルタ / ハーフトーニング / 色復元

Outline of Final Research Achievements

Throughout this research, we have developed various forms of bilateral filters and have devised its application to intelligent image processing with its implementation to computers. The bilateral filter has taken attention as a fundamental algorithm of the computational photography which is an emerging technology having central role for developing next-generation cameras. For the bilateral filter (BF), we have developed hue-preserving BF, bilateral envelope filter, inverse BF, bilateral Poisson disk sampling, bilateral Voronoi tessellation. We have applied them to non-photorealistic rendering techniques for generating moire image, Islamic pattern, paper mosaics, sand art, Japanese paper images.

Free Research Field

画像情報処理