digiKam – Season of KDE 2014

My project has been accepted for this year’s Season of KDE. I’ll be working on digiKam and my project deals with improving the automatic noise reduction function which is present in the current release.

The work will be based on [1] and [2], and will hopefully utilize many of OpenCV’s libraries for certain computations. There has also been a MATLAB script by the authors on the research, which will prove beneficial in understanding and implementing it into digiKam. I might implement the function using OpenCV as a seperate application initially, and then figure out about porting to digiKam.

I have a fairly good knowledge of digiKam’s codebase, having committed two patches before SoK. Before that, I have committed two patches to Krita. I’m excited to be working on a very cool project, on a very cool application!

[1] : Noise level Estimation using Weak Textured Patches of a Single Noisy Image : Xinhao Liu, Masayuki Tanaka and Masatoshi Okutomi, 2012

[2] : Estimation of Signal Dependent Noise Parameters from a Single Image : Xinhao Liu, Masayuki Tanaka and Masatoshi Okutomi, 2013

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