Image de-Noising by Selective Filtering Based on Double-Shot Pictures

Dinei Florencio

Abstract

The quality of photographs is often reduced by sensor

noise. This was a problem with film cameras, and is still a

problem with current CCD and CMOS sensors, particularly in

low-lighting conditions. De-noising techniques do not always

perform satisfactorily. Typical de-noise techniques reduce the

sharpness of the image. In this paper we propose a new de-noising

technique, which is based on a dual-shot technique. The proposed

algorithm is based on selectively removing high frequencies that

do not correlate well between the frames. The algorithm borrows

from video processing noise-removal techniques, but the final

picture is derived from filtering a single shot, avoiding doublecontouring

and other artifacts that may happen with video

techniques. While the decision is made based on both frames, the

filtering itself is done using exclusively one of the frames. For this

reason, the second (auxiliary) shot may be of much lower quality.

Details

Publication typeInproceedings
Published inICIP
PublisherIEEE
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