Today many kinds of postprocessing are used in digital TV receivers or multimedia terminals for video signals to enhance the picture quality. To achieve this the properties of human visual perception have to be regarded. Because of the nonlinear nature of human visual perception (e.g. perception of edges and objects) many algorithms have been developed and optimized by heuristic methods or by a...

Although color TV is an established technology, there are a number of longstanding problems for which neural networks may be suited. Impulse noise is such a problem, and a modular neural network approach is presented in this paper. The training and analysis was done on conventional computers, while real-time simulations were performed on a massively parallel computer called the Princeton Engine...

There are many di erent approaches either for the localization of sound sources or for tracking of visible objects in image sequences. However, most applications use only one modality, that is, they process only audio or video information for object localization. In this paper we introduce a method for the estimation of object positions based on joint audio-video information. The key technique ...

Clinical operators in one of the most difficult health care fields, namely neonatal neurology, on a daily basis have to face the diagnosis of epileptic seizures. Most of the neonates affected by perinatal diseases are at risk of neonatal seizures, which are the most common sign of acute neurological dysfunctions and must be promptly and accurately recognized in order to establish timely treatme...

almost been synonymous with machine vision, which suggests processing of data from cameras operating in the visible range, the trend is to use multiple modalities of inputs that include sensors such as radar and microphone arrays. The trend is to tackle the problem using a layered model starting with the sensor outputs and working through other layers such as front-end processing, object locali...

Digital sync signal processing for asynchronously digitized video signals is presented. A simplified matched filter for sync extraction and a linear prediction method for sync pulse filtering improves image stability significantly in comparison with a conventional phase-locked-loop (PLL) approach. Due to the linear prediction method, additional adaption to phase skips in the input signal (non-s...

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introduction many features, emerging from mathematical techniques, have been used in the analysis of brain signals. in this study, the physical quantity of “moment of inertia” (moi) was introduced as a feature to enhance high-frequency waves (hfws) in electroencephalography (eeg). materials and methods in this research, the recorded eegs from f3, f4, and cz points in 20 males were used. a total...

This paper presents an approach for image and video scaling using multirate signal processing. The main objective is to scale images with arbitrary rational scaling ratio without visible aliasing or distortion artifact. The approach can be applied to grey scale images, color images and video signals in both spatial domain and time domain. Cosine modulation is used to minimize the required on-ch...