My research interests are in the areas of digitial image processing and enhancement, objective image and video quality evaluation, multi-sensor image and video fusion, machine vision, signal processing and machine learning, applied in the context of medical and general digital imaging, video analysis and transmission and diagnostic devices.
No-Reference Quality Evaluation, Multi Scale Image and Video Enhancement, Multi-dimensional Objective Video Quality Evaluation, Real and Pseudo Colour Multisensor Image and Video Fusion, Gradient Based Fidelity Estimation, Digital Radiography X-Ray Imaging, Automatic Video Quality Control, Convolutional Neural Networks in Quality Estimation and Control, Diagnostic Imaging.
Vladimir Ostojić, Đorđe Starčević, Vladimir Petrović, „Recursive anisotropic diffusion denoising“, in Electronics Letters, ISSN: 0013-5194, IET Digital Library, Vol. 52, No. 17, 18 August 2016, pp.
Vladimir Petrović, Vladimir Dimitrijević, „Focused pooling for image fusion evaluation“, Information Fusion, Vol 22 (03/2015), 119-126, Elsevier, ISSN: 1566-2535.
Cootes, C., Twining, V. Petrovic, K. Babalola and C. Taylor “Computing Accurate Correspondences across Groups of Images”, IEEE Transactions Pattern Analysis and Machine Intelligence, Vol 32(11), pp 1994-2005, 2010