Robust incremental optical flow
Robust incremental optical flow
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Fast median and bilateral filtering
ACM SIGGRAPH 2006 Papers
Noise Estimation from a Single Image
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Image filtering using morphological amoebas
Image and Vision Computing
Motion estimation and compensation from noisy image sequences: A new filtering scheme
Image and Vision Computing
A new edge-adaptive demosaicing algorithm for color filter arrays
Image and Vision Computing
A gentle introduction to bilateral filtering and its applications
ACM SIGGRAPH 2008 classes
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
International Journal of Computer Vision
Fabric defect detection using morphological filters
Image and Vision Computing
Moving object segmentation by background subtraction and temporal analysis
Image and Vision Computing
Color filter array design using random patterns with blue noise chromatic spectra
Image and Vision Computing
Computers and Electrical Engineering
Fuzzy Directional (FD) Filter for impulsive noise reduction in colour video sequences
Journal of Visual Communication and Image Representation
Fast bilateral filter for HDR imaging
Journal of Visual Communication and Image Representation
Color image processing using adaptive multichannel filters
IEEE Transactions on Image Processing
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Wavelet-Domain Video Denoising Based on Reliability Measures
IEEE Transactions on Circuits and Systems for Video Technology
Video Denoising Based on Inter-frame Statistical Modeling of Wavelet Coefficients
IEEE Transactions on Circuits and Systems for Video Technology
Video Denoising Based on a Spatiotemporal Gaussian Scale Mixture Model
IEEE Transactions on Circuits and Systems for Video Technology
Patch-based spatio-temporal super-resolution for video with non-rigid motion
Image Communication
Adaptive non-local means filter for image deblocking
Image Communication
Hi-index | 0.00 |
Over the last few decades, surveillance applications have been an extremely useful tool to prevent dangerous situations and to identify abnormal activities. Although, the majority of surveillance videos are often subjected to different noises that corrupt structured patterns and fine edges. This makes the image processing methods even more difficult, for instance, object detection, motion segmentation, tracking, identification and recognition of humans. This paper proposes a novel filtering technique named robust bilateral and temporal (RBLT), which resorts to a spatial and temporal evolution of sequences to conduct the filtering process while preserving relevant image information. A pixel value is estimated using a robust combination of spatial characteristics of the pixel's neighborhood and its own temporal evolution. Thus, robust statics concepts and temporal correlation between consecutive images are incorporated together which results in a reliable and configurable filter formulation that makes it possible to reconstruct highly dynamic and degraded image sequences. The filtering is evaluated using qualitative judgments and several assessment metrics, for different Gaussian and Salt-Pepper noise conditions. Extensive experiments considering videos obtained by stationary and non-stationary cameras prove that the proposed technique achieves a good perceptual quality of filtering sequences corrupted with a strong noise component.