Dragana Sandic-Stankovic

Learn More
Most of the Depth Image Based Rendering (DIBR) techniques produce synthesized images which contain nonuniform geometric distortions affecting edges coherency. This type of distortions are challenging for common image quality metrics. Morphological filters maintain important geometric information such as edges across different resolution levels. In this(More)
The Depth-Image-Based-Rendering (DIBR) algorithms used for 3D video applications introduce geometric distortions affecting the edge coherency in the synthesized images. In order to better deal with specific geometric distortions in the DIBR synthesized images, we propose full-reference metric based on multi-scale pyramid decompositions using morphological(More)
Immersive image/video services will be soon available to the mass market due to the technological advancement of 3D video technologies, which include 3D-Ready TV monitors at affordable prices. However, in order to provide demanding customers with a better service over resource limited (e.g., bandwidth) and unreliable communication channels, system(More)
The performances of morphological wavelets for 3D volume image decorrelation in lossless image compression are presented. Nonlinear morphological wavelets used in non-redundant multiresolution signal decomposition schemes with perfect reconstruction are very fast for implementation as only integer arithmetic is used. The lifting schemes implementing(More)
The efficiency of multiresolution decomposition using morphological filters for 3D volume image decorrelation in lossless compression and computational complexity are evaluated. More efficient decorrelation is performed using morphological wavelets for multiresolution data representation than using Laplacian style pyramidal decomposition with morphological(More)
In this paper a no-reference image quality assessment (IQA) metric for DIBR-synthesized images is proposed. Sparsity based features of morphologically decomposed image subbands are used to estimate distortion level in images. A General regression neural network is utilized to calculate quality score. The performance is evaluated using publicly available(More)
In this paper, two image quality metrics based on morphological multiscale decompositions have been applied for the evaluation of free viewpoint video sequences. These sequences are synthesized using decompressed depth maps in the DepthImage-Based Rendering synthesis process. Since the synthesis introduces edge distortion in the synthesized image/video,(More)
  • 1