[IPOL discuss] [IPOL announce] new article: Implementing Handheld Burst Super-Resolution
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A new article is available in IPOL: https://www.ipol.im/pub/art/2023/460/
Jamy Lafenetre, Gabriele Facciolo, and Thomas Eboli,
Implementing Handheld Burst Super-Resolution,
Image Processing On Line, 13 (2023), pp. 227–257.
https://doi.org/10.5201/ipol.2023.460
Abstract
Nowadays, smartphone cameras capture bursts of raw photographs whenever
the trigger is pressed. These photos are then fused to produce a single
picture with higher quality. This paper details the implementation of
the method 'Handheld Multi-Frame Super-Resolution algorithm' by Wronski
et al. (used in the Google Pixel 3 camera), which performs
simultaneously multi-image super-resolution demosaicking and denoising
from a burst of images. Hand tremors during exposure cause subpixel
motions, which combined with the Bayer color filter array of the sensor
results in a collection of aliased and shifted raw photographs of the
same scene. The algorithm efficiently aligns and fuses these signals
into a single high-resolution one by leveraging the aliasing to
reconstruct the high-frequencies of the signal up to the Nyquist rate of
the sensor. This approach yields digitally zoomed images up to a factor
of 2, which is the limit naturally set by the sensor pixel integration.
We present an in-depth description of this algorithm, along with
numerous implementation details we have found to reproduce the results
of the original paper, whose code is not publicly available.
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