| Paper (CVPR - spotlight) | Paper (TIP) | Project Page + Video |
Official implementation of "Noise Robust Depth from Focus using a Ring Difference Filter" (CVPR 2017) and "Ring Difference Filter for Fast and Noise Robust Depth From Focus " (TIP 2019).
Note: This code was used for the quantitative analysis in the paper (bokeh detection, unreliable depth rejection, and tree propagation are not included)
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Usage:
- run
demo.m
for an example run on theBuddha
set - set
use_rdf_agg
tofalse
for CVPR version or totrue
[rdf_labels, im_all_in_focus] = RDF_DFF(pathval, regexp, i_start, numimg, show_fig, resize, use_parallel, use_rdf_agg, use_fast_jwmf, saveimg) % Inputs: % pathval: (str) path to input image set % regexp: (str) format of image naming % i_start: (int) path to input image set % numimg: (int) number of images % show_fig: (bool) [default: true] switch to render intermediate figures % resize: (float) [default: 0.5] factor to resize image for aligning images % use_parallel: (bool) [default: true] switch to use parallel processing (need toolbox) % use_rdf_agg: (bool) [default: false] switch to use RDF-based aggregation % use_fast_jwmf: (bool) [default: false] switch to use fast weighted median filtering for end % saveimg: (bool) [default: false] switch to save intermediate images during alignment % % Outputs: % rdf_labels: (matrix of double) % im_all_in_focus: (image in double)
- run