TY - GEN
T1 - Low Cost Super-Resolution Scaling for Images with Over-Exposed and Saturated Scenes
AU - Cheng, Kai Tse
AU - Huang, Chung Hsun
AU - Chu, Yuan Sun
AU - Cheng, Bo Chao
AU - Chou, Pin Sheng Cheng
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/12
Y1 - 2018/12/12
N2 - Scaling is indispensable for multimedia display to convert image sources from input resolution to output resolution. Conventional scaling algorithms inevitably induce side effects such as aliasing effect; therefore, super-resolution (SR) scaling was raised to improve the scaling quality through complex computations. Even though the scaling quality will be greatly improved through complex SR scaling, the image details of some images with over-exposed and saturated scenes can not be recovered well. In this paper, we proposed a simple SR scaling algorithm to restore the unapparent details and edges of original over-exposed or saturated images by simple histogram analysis, remapping and blending process without destroying the tone of original images. Several over-exposed or under-exposed images are scaled through the proposed algorithm, and the results show great improvements over conventional scaling and SR scaling approaches.
AB - Scaling is indispensable for multimedia display to convert image sources from input resolution to output resolution. Conventional scaling algorithms inevitably induce side effects such as aliasing effect; therefore, super-resolution (SR) scaling was raised to improve the scaling quality through complex computations. Even though the scaling quality will be greatly improved through complex SR scaling, the image details of some images with over-exposed and saturated scenes can not be recovered well. In this paper, we proposed a simple SR scaling algorithm to restore the unapparent details and edges of original over-exposed or saturated images by simple histogram analysis, remapping and blending process without destroying the tone of original images. Several over-exposed or under-exposed images are scaled through the proposed algorithm, and the results show great improvements over conventional scaling and SR scaling approaches.
UR - https://www.scopus.com/pages/publications/85060316544
UR - https://www.scopus.com/pages/publications/85060316544#tab=citedBy
U2 - 10.1109/GCCE.2018.8574492
DO - 10.1109/GCCE.2018.8574492
M3 - Conference contribution
AN - SCOPUS:85060316544
T3 - 2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
SP - 45
EP - 46
BT - 2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Global Conference on Consumer Electronics, GCCE 2018
Y2 - 9 October 2018 through 12 October 2018
ER -