logo Non Local Exposure Fusion
Cristian F. Ocampo B. and Yann Gousseau.
LTCI, CNRS, Telecom ParisTech, Universite Paris-Saclay, 75013, Paris, France


Abstract - Exposure fusion is an efficient method to obtain a well exposed and detailed image from a scene with high dynamic range. However, this method fails when there is camera shake and/or object motions. In this work, we tackle this issue by replacing the pixel-based fusion by a fusion between pixels having similar neighborhood (patches) in images with different exposure settings. In order to achieve this, we compare patches in the luminance domain. We show through several experiments that this procedure yield comparable or better results than the state of the art, at a reasonable computing time.



The top row shows a sequence of bracketed exposure images with decreasing exposure times, large object displacement, misalignments and illumination changes. The reference image is framed in a red box. The bottom image corresponds to the fusion with the proposed method, NLEF. Processing time of 18 seconds for 6 images of size [578, 867].



Supplementary Files
Paper: Non Local Exposure Fusion
Source code: NLEF source code
Test scene: Scene to test the code
Further datasets: IUS Sarajevo HDR, EMPA Media technology.


Comparison and Additional Results


Bridge

Fusion with NLEF / patch search 3x3. (24secs)

Fusion with J. Hu's method: HDR Deghosting / patch 3x3. (143 secs)

Occlusion Set

Fusion with NLEF / patch search 3x3. (16secs)

Fusion with J. Hu's method: HDR Deghosting / patch 3x3. (102 secs)

Market Mires

Fusion with NLEF / patch search 3x3. (68secs)

Fusion with J. Hu's method: HDR Deghosting / patch 3x3. (394 secs)

Slides

Fusion with NLEF / patch search 3x3. (39secs)

Fusion with J. Hu's method: HDR Deghosting / patch 3x3. (197 secs)

Tolbiac

Fusion with NLEF / patch search 3x3. (9secs)

Fusion with J. Hu's method: HDR Deghosting / patch 3x3. (69 secs)