![](/images/graphics-bg.png)
DCT-Based HDR Exposure Fusion Using Multiexposed Image Sensors
Joint Authors
Lee, Sung-Hak
Lee, Geun-Young
Kwon, Hyuk-Ju
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-26
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
It is difficult to apply existing exposure methods to a resource-constrained platform.
Their pyramidal image processing and quality measures for interesting areas that need to be preserved require a lot of time and memory.
The work presented in this paper is a DCT-based HDR exposure fusion using multiexposed image sensors.
In particular, it uses the quantization process in JPEG encoding as a measurement of image quality such that the fusion process can be included in the DCT-based compression baseline.
To enhance global image luminance, a Gauss error function based on camera characteristics is presented.
In the simulation, the proposed method yields good quality images, which balance naturalness and object identification.
This method also requires less time and memory.
This qualifies our technique for use in resource-constrained platforms.
American Psychological Association (APA)
Lee, Geun-Young& Lee, Sung-Hak& Kwon, Hyuk-Ju. 2017. DCT-Based HDR Exposure Fusion Using Multiexposed Image Sensors. Journal of Sensors،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1186788
Modern Language Association (MLA)
Lee, Geun-Young…[et al.]. DCT-Based HDR Exposure Fusion Using Multiexposed Image Sensors. Journal of Sensors No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1186788
American Medical Association (AMA)
Lee, Geun-Young& Lee, Sung-Hak& Kwon, Hyuk-Ju. DCT-Based HDR Exposure Fusion Using Multiexposed Image Sensors. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1186788
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186788