Authors:
Masaki Hashimoto
;
Fumihiko Sakaue
and
Jun Sato
Affiliation:
Nagoya Institute of Technology, Japan
Keyword(s):
Image Super Resolution, Alignment Error, LCoS Device.
Related
Ontology
Subjects/Areas/Topics:
Computational Photography
;
Computer Vision, Visualization and Computer Graphics
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Rendering
Abstract:
In this paper, we propose a novel method for obtaining super resolution images by using alignment errors
between an image sensor and a spatial light modulator, such as LCoS device, in the coded imaging systems.
Recently, coded imaging systems are often used for obtaining high dynamic range (HDR) images and for deblurring
depth and motion blurs. For obtaining accurate HDR images and unblur images, it is very important
to setup the spatial light modulators with cameras accurately, so that the one-to-one correspondences hold between
light modulator pixels and camera image pixels. However, the accurate alignment of the light modulator
and the image sensor is very difficult in reality. In this paper, we do not adjust light modulators and image
sensors accurately. Instead, we use the alignment errors between the light modulators and the image sensors
for obtaining high resolution images from low resolution observations in the image sensors.