Image noise reduction by denoising autoencoder
L. S. Yasenko, Yaroslav Klyatchenko, Oksana Tarasenko-Klyatchenko
Abstract
Neural networks are used in many tasks today. One of them is the images processing. Autoencoder is very popular neural networks for such problems. Denoising autoencoder is an important autoencoder because some tasks we need a preprocessed image to get less noisy result. This research describes ways to analyze noisy images produced by a physically-based render engine and how to reduce that noise. The results showed that the algorithms are logarithmic.
Topics & Concepts
AutoencoderNoise reductionArtificial intelligenceComputer scienceNoise (video)Artificial neural networkImage (mathematics)Image denoisingPattern recognition (psychology)Reduction (mathematics)LogarithmNoise measurementComputer visionMathematicsMathematical analysisGeometryImage and Signal Denoising MethodsComputer Graphics and Visualization TechniquesAdvanced Image Processing Techniques