Low-cost multispectral imaging system based on compressive sensing

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K20899
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Perceptual information processing; Communication/Network engineering
• Research Institution: Utsunomiya University
• Principal Investigator: Shinoda Kazuma 宇都宮大学, 工学(系)研究科(研究院), 助教 (50639200)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: マルチスペクトル / フィルタアレイ / デモザイク / 圧縮センシング

Outline of Final Research Achievements

This study proposed an optimization method for both multispectral filter array design and demosaicking based on compressive sensing. The demosaicking results in the inverse problem of a formulated proposed capturing system. We verified the proposed filter array design and demosaicking method by using a pathological image. As a result, the proposed method reduced the error of the demosaicked image to one fourth compared to the conventional method.

Free Research Field

画像工学