46 citations · 149 across the 35 of their papers we have counts for
5 papers · 1 filter
Estimation and Restoration of Compositional Degradation Using Convolutional Neural Networks
Kazutaka Uchida, Masayuki Tanaka, Masatoshi Okutomi
Image restoration from a single image degradation type, such as blurring, hazing, random noise, and compression has been investigated for decades. However, image degradations in pr…
Gradient-Based Low-Light Image Enhancement
Masayuki Tanaka, Takashi Shibata, Masatoshi Okutomi
A low-light image enhancement is a highly demanded image processing technique, especially for consumer digital cameras and cameras on mobile phones. In this paper, a gradient-based…
Non-blind Image Restoration Based on Convolutional Neural Network
Kazutaka Uchida, Masayuki Tanaka, Masatoshi Okutomi
Blind image restoration processors based on convolutional neural network (CNN) are intensively researched because of their high performance. However, they are too sensitive to the…
Structure-from-Motion using Dense CNN Features with Keypoint Relocalization
Aji Resindra Widya, Akihiko Torii, Masatoshi Okutomi
Structure from Motion (SfM) using imagery that involves extreme appearance changes is yet a challenging task due to a loss of feature repeatability. Using feature correspondences o…
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
Hajime Taira, Masatoshi Okutomi, Torsten Sattler +5
We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map. The contributions of this work are three-fold. First, we develop…