Title :
Flash/no-flash image integration using convex optimization
Author :
Baba, Toshihiko ; Matsuoka, Ryo ; Ono, Shintaro ; Shirai, Keigo ; Okuda, Masumi
Author_Institution :
Univ. of Kitakyushu, Kitakyushu, Japan
Abstract :
When high ISO sensitivity is used to acquire images of dark scenes, their detail textures are often deteriorated by sensor noise. On the other hand, using flash photography with artificial light, one can shorten the exposure time, and obtain a sharp image under the low ISO sensitivity. However, the use of flash light changes the color tone and often generates unnatural images due to a specific color temperature of the additional light. This paper presents a new efficient method for flash/no-flash image integration. In contrast to conventional integration methods assuming that the flash image has a sharp texture without any noise, our method can successfully remove noise. Specifically, our method separately handles regions within the reach of the flash light and other regions out of range of the flash light, because the two regions have much different characteristics. As for the former well-exposed regions, we transferred the detail of the flash image to no-flash image by optimization and component separation. As for the latter under-exposed regions, an optimization based joint bilateral filtering that uses information of a flash image is performed to remove noise. Experimental results show the effectiveness of our method compared to the conventional methods.
Keywords :
convex programming; digital photography; image denoising; image texture; interference suppression; natural scenes; ISO sensitivity; color tone; component separation; convex optimization; dark scenes; flash light; flash photography; flash-no-flash image integration; image sharp texture; no-flash image; noise removal; optimization based joint bilateral filtering; Ash; Colored noise; Convex functions; ISO; Image color analysis; Image edge detection; convex minimization; flash/no-flash image integration; image denoising;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6853784