Adaptive total variation minimization-based image enhancement from flash and no-flash pairs.
We present a novel approach for enhancing the quality of an image captured from a pair of flash and no-flash images. The main idea for image enhancement is to generate a new image by combining the ambient light of the no-flash image and the details of the flash image. In this approach, we propose a method based on Adaptive Total Variation Minimization (ATVM) so that it has an efficient image denoising effect by preserving strong gradients of the flash image. Some numerical results are presented to demonstrate the effectiveness of the proposed scheme.
School of Computer Science, Kookmin University, 77 Jeongneung-ro, Seogbuk-gu, Seoul 136-702, Republic of Korea.
Sang Min
0000-0001-8402-6264
SM
Yoon
Institute of Mathematical Sciences, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 120-750, Republic of Korea.
Yeon Ju
YJ
Lee
Institute of Mathematical Sciences, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 120-750, Republic of Korea.
Gang-Joon
GJ
Yoon
Department of Mathematics, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 120-750, Republic of Korea.
Jungho
J
Yoon
D008027:Light; D008962:Models, Theoretical; D010781:Photography