Authors:
Tomoki Sasao
1
;
Shinsaku Hiura
2
and
Kosuke Sato
1
Affiliations:
1
Osaka University, Japan
;
2
Hiroshima City University, Japan
Keyword(s):
Super-resolution, Image Sensor, Richardson-Lucy Deconvolution.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
Abstract:
In this paper, we propose a technique to improve the performance of super-resolution by changing the effective shape of each pixel on the image sensor. Since the sampling of the incoming light by the usual image sensors is not impulse-shaped but rectangular, the high spatial frequency component of the latent image is lost through the integration effect of the pixel area. Therefore, by spraying black powder onto the image sensor we give each pixel shape a random code, which jointly aggregates the latent information of the observed scene. Experimental results show that the proposed random code greatly improves the quality of the reconstructed image.