Establishment and System Development of Super-Resolution Image Recostruction Technique for Next Generation Super-High Definition Images

2015 Fiscal Year Final Research Report

• Project/Area Number: 25820158
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Communication/Network engineering
• Research Institution: Nagoya Institute of Technology
• Principal Investigator: GOTO TOMIO 名古屋工業大学, 工学(系)研究科(研究院), 助教 (20324478)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 超解像 / 画像拡大 / 画像再構成

Outline of Final Research Achievements

From 2013 to 2015, we have been studied for super-resolution image reconstruction, which utilizes the Total Variation Image Reconstuction, the Shock filter and the Edge Enhancement filter. By using the TV regularization, input images are devided into a structure component, which consists of edge components and low frequency components, and a texture component, which consists of high frequency components. The structure and texture components magnified by utilizing the Shock filter and the Edge Enhancement filter, respectively, we have achieved high-quality super-resolution image reconstruction, and image quality have been drastically improved.
And we gave some presentations in ten domestic and ten international societies.

Free Research Field

画像処理