Authors:
Seiichi Gohshi
1
;
Shinichiro Nakamura
2
and
Hiroyuki Tabata
2
Affiliations:
1
Kogakuin University, Japan
;
2
Keisoku Giken Co. and Ltd., Japan
Keyword(s):
8KTV, 4KTV, HDTV, Up-convert, Super Resolution with Non-linear Processing, Super Resolution Image Reconstruction, Learning based Super Resolution, Non-linear Signal Processing.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Shape Representation and Matching
Abstract:
Recent reports show that 4K and 8K TV systems are expected to replace HDTV in the near future. 4K TV
broadcasting has begun commercially and the same for 8K TV is projected to begin by 2018. However,
the availability of content for 8K TV is still insufficient, a situation similar to that of HDTV in the 1990s.
Upconverting analogue content to HDTV content was important to supplement the insufficient HDTV content.
This upconverted content was also important for news coverage as HDTV equipment was heavy and bulky. The
current situation for 4K and 8K TV is similar wherein covering news with 8K TV equipment is very difficult
as this equipment is much heavier and bulkier than that required for HDTV in the 1990s. The HDTV content
available currently is sufficient, and the equipment has also evolved to facilitate news coverage; therefore, an
HDTV-to-8K TV upconverter can be a solution to the problems described above . However, upconversion
from interlaced HDTV to 8K TV results in an enlargem
ent of the images by a factor of 32, thus making the
upconverted images very blurry. An upconverter with super resolution has been proposed in this study in order
to fix this issue.
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