We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
This paper presents an adaptive in-band motion compensated temporal filtering (MCTF) scheme for 3-D wavelet based scalable video coding. The proposed scheme solves the motion mism...
Anyu Gao, Cedric Nishan Canagarajah, David R. Bull
Recently technological advances now enable time-gated acquisitions of photons at very fast rates. This can allow one to separate scattered and unscattered photons in transillumina...
It has previously been shown that canonical correlation analysis (CCA) works well for detecting neural activity in fMRI data. This is due to the ability of CCA to perform simultan...
The contourlet transform was proposed as a directional multiresolution image representation that can efficiently capture and represent singularities along smooth object boundaries...
The area of non-intrusive forensic analysis has found many applications in the area of digital imaging. One unexplored area is the identification of source coding in digital image...
Tracing of curvilinear structures is one of the fundamental tools in the quantitative analysis of biological images, for extracting information about structures such as blood vess...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
Preserving historic recording on gramophone records is an important task because the traditional record play back system damages/wears out records eventually. We present an optica...
It has been recently discovered that a faithful representation for the shape of some simple distributions can be constructed using invariant statistics [1, 2]. In this paper, we c...
Interest point detectors are the starting point in image analysis for depth estimation using epipolar geometry and camera ego-motion estimation. With several detectors defined in ...
Sreenivas R. Sukumar, David L. Page, Hamparsum Boz...