Semi-automated object segmentation is an important step in the cinema post-production workflow. We propose a dense motion based segmentation process that employs sparse feature ba...
In this paper, we present a method to speed up video encoding of GPU rendered 3D scenes, which is particularly suited for the efficient and low-delay encoding of 3D game output as...
Because digital images can be modified with relative ease, considerable effort has been spent developing image forensic algorithms capable of tracing an image's processing hi...
We propose a novel algorithm for denoising Poisson-corrupted images, that performs a signal-adaptive thresholding of the undecimated Haar wavelet coefficients. A Poisson's un...
Delivery of 3D immersive entertainment to the home remains a highly challenging problem due to the large amount of data involved, and the need to support a wide variety of differe...
Erhan Ekmekcioglu, Banu Gunel, Maheshi B. Dissanay...
In this paper, we propose a new 3D framework to identify and segment VBs and TBs in clinical computed tomography (CT) images without any user intervention. The Matched filter is e...
Melih S. Aslan, Asem M. Ali, Ham Rara, Aly A. Fara...
A new image segmentation method is proposed to combine the edge information with the feature-space method, K-Means clustering. A procedure called seam processing, which is computa...
Tse-Wei Chen, Hsiao-Hang Su, Yi-Ling Chen, Shao-Yi...
We propose a new method to unmix hyperspectral images. Our method exploits the structure of the material abundance maps by assuming that in some regions of the spatial dimension, ...
We develop a new passive image formation method capable of exploiting information about multiple scattering in the environment using measurements from a sparse array of receivers ...
Blotches are very common, localized, and non persistent impairments in digitized film archive. Many methods have been proposed so far for detecting them and restoring the underlyi...
Antoni Buades, Julie Delon, Yann Gousseau, Simon M...