This paper proposes a robust spatial-temporal MRF model based scheme for aggressive detection and accurate interpolation of missing data (blotches) in highly corrupted image sequences. The blotches in noise-corrupted image sequences exhibit a temporal discontinuity characteristic, which is used for the detection of blotches. The MRF model addresses the problem of incorrect detection due to poor...

Image processing is methodology to convert an image into digital form. The digital form of data is less complex and easy to interpolate and give an enhanced image or to extract some useful information from it. By this Images are often corrupted by impulse noise during acquisition and transmission. These noises affect the information which is present in the images. There are several algorithms t...

Increasingly, for extensibility and performance, special purpose application code is being integrated with database system code. Such application code has direct access to database system buffers, and as a result, the danger of data being corrupted due to inadvertent application writes is increased. Previously proposed hardware techniques to protect from corruption require system calls, and the...

We consider signal and image restoration using convex cost-functions composed of a non-smooth data-fidelity term and a smooth regularization term. First, we provide a convergent method to minimize such cost-functions. Then we propose an efficient method to remove impulsive noise by minimizing cost-functions composed of an l1 data-fidelity term and an edge-preserving regularization term. Their m...

Photoplethysmographic (PPG) signals are easily corrupted by motion artifacts when the subjects perform physical exercise. This paper introduces a two-step processing scheme to estimate heart rate (HR) from wrist-type PPG signals strongly corrupted by motion artifacts. Adaptive noise cancellation, using normalized least-mean-square algorithm, is first performed to attenuate motion artifacts and ...

Increasingly, for extensibility and performance, specialpurpose application code is being integrated with database system code. Such application code has direct access to database system buffers, and as a result, the danger of data being corrupted due to inadvertent application writes is increased. Previously proposed hardware techniques to protect from corruption require system calls, and thei...

The linguistic content of the masker is important for the benefit of masking release in understanding noise-corrupted speech. The present work investigated how Mandarin sentence recognition is influenced by background noise with different linguistic content via two studies, i.e., speech perception and intelligibility prediction. Mandarin sentences were corrupted by Mandarin-, Cantonese-, and En...