Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Aishy Amer"'
Autor:
John C. Armitage, Aishy Amer
Publikováno v:
Opto-Canada: SPIE Regional Meeting on Optoelectronics, Photonics, and Imaging.
Autor:
Kumara Ratnayake, Aishy Amer
Publikováno v:
Journal of Real-Time Image Processing. 13:397-414
Video processing algorithms are computationally intensive and place stringent requirements on performance and efficiency of memory bandwidth and capacity. As such, efficient hardware accelerations are inevitable for fast video processing systems. In
Autor:
Aishy Amer, Eva Rifkah
Publikováno v:
Journal of Real-Time Image Processing. 11:445-455
Non-linear diffusion (ND) is an iterative difference equation used in several image processing applications such as denoising, segmentation, or compression. The number of iterations required to achieve optimal processing can be very high, making ND n
Publikováno v:
Journal of Real-Time Image Processing. 9:31-45
The stable Euler-number-based image binarization has been shown to give excellent visual results for images containing high amount of image noise. Being computationally expensive, its applications are limited mostly to general-purpose processors and
Autor:
Mohammed Ghazal, Aishy Amer
Publikováno v:
IEEE Transactions on Image Processing. 20:1788-1796
This paper proposes a method for localizing homogeneity and estimating additive white Gaussian noise (AWGN) variance in images. The proposed method uses spatially and sparsely scattered initial seeds and utilizes particle filtering techniques to guid
Publikováno v:
Multimedia Tools and Applications. 58:585-611
This paper proposes a novel method for the detection of vandalism events in video sequences. The method is based on a proposed definition for common vandal behaviors recorded on surveillance video sequences. To do this, the method monitors changes in
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 18:1797-1802
In this letter, we propose a structure-oriented multidirectional Wiener filter to reduce additive white Gaussian noise in image and video signals. A local activity profile based on second derivatives is used to restrict filtering to homogeneous direc
Publikováno v:
Signal, Image and Video Processing. 3:13-25
This paper proposes a novel algorithm for the real-time detection and correction of occlusion and split in object tracking for surveillance applications. The paper assumes a feature-based model for tracking and is based on the identification of sudde
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 17:1690-1699
This paper proposes a spatio-temporal technique for estimating the noise variance in noisy video signals, where the noise is assumed to be additive white Gaussian noise. The proposed technique utilizes domain-wise (spatial, temporal, and spatio-tempo
Publikováno v:
IEEE Transactions on Consumer Electronics. 53:1500-1507
This paper proposes a structure-oriented multidirectional Sigma filter for additive white Gaussian noise in digital TV signals. Filtering is restricted to homogeneous directions to reduce blurring by analyzing local structure using directional second