All-in-focus image reconstruction robust to ghosting effect

2018 ◽  
Author(s):  
Sergio Gómez Angulo ◽  
Julia R. Alonso ◽  
Marija Strojnik ◽  
Ariel Fernández ◽  
Guillermo García Torales ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Focus Image

All-in-focus image reconstruction under severe defocus

2015 ◽  
Vol 40 (8) ◽  
pp. 1671 ◽  
Author(s):  
Julia R. Alonso ◽  
Ariel Fernández ◽  
Gastón A. Ayubi ◽  
José A. Ferrari
Keyword(s):  
Image Reconstruction ◽  
Focus Image

Multi-Exposure and Multi-Focus Image Fusion in Gradient Domain

2016 ◽  
Vol 25 (10) ◽  
pp. 1650123 ◽  
Author(s):  
Sujoy Paul ◽  
Ioana S. Sevcenco ◽  
Panajotis Agathoklis
Keyword(s):  
Image Reconstruction ◽  
Image Fusion ◽  
Reconstruction Algorithm ◽  
Haar Wavelet ◽  
Reconstruction Technique ◽  
Fusion Algorithm ◽  
Poisson Solver ◽  
Pixel Location ◽  
Focus Image ◽  
Image Reconstruction Technique

A multi-exposure and multi-focus image fusion algorithm is proposed. The algorithm is developed for color images and is based on blending the gradients of the luminance components of the input images using the maximum gradient magnitude at each pixel location and then obtaining the fused luminance using a Haar wavelet-based image reconstruction technique. This image reconstruction algorithm is of [Formula: see text] complexity and includes a Poisson solver at each resolution to eliminate artifacts that may appear due to the nonconservative nature of the resulting gradient. The fused chrominance, on the other hand, is obtained as a weighted mean of the chrominance channels. The particular case of grayscale images is treated as luminance fusion. Experimental results and comparison with other fusion techniques indicate that the proposed algorithm is fast and produces similar or better results than existing techniques for both multi-exposure as well as multi-focus images.

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