We address unsupervised audio-visual speech enhancement based on variational autoencoders (VAEs), where the prior distribution of clean spectrogram is simulated using an encoder-decoder architecture. At (test) time, trained generative model (decoder) combined with a noise whose parameters need to be estimated. The initialization latent variables describing process via decoder, crucial, as overa...

The superior colliculus is organized topographically as a neural map. The deep layers of the colliculus detect and localize targets in the environment by integrating input from multiple sensory systems. Some deep colliculus neurons receive input of only one sensory modality (unimodal) while others receive input of multiple modalities. Multimodal deep SC neurons exhibit multisensory enhancement,...

introduction breast cancer is one of the most common types of cancer among women.  early detection of breast cancer is the key to reducing the associated mortality rate. the presence of microcalcifications clusters (mccs) is one of the earliest signs of breast cancer. due to poor imaging contrast of mammograms and noise contamination, radiologists may overlook some diagnostic signs, specially t...

Fingerprint image enhancement is the basic and most required component of biometric verification system. This method proposes a fingerprint image enhancement and template based minutiae extraction techniques. For better enhancement the preprocessing stage includes global and local analysis. In the preprocessing and local analysis blocks, a nonlinear dynamic range adjustment method is used. In t...

Multipurpose Beta Optimized Recursive Bi-histogram Equalization (MBORBHE) method has been proposed in this article for contrast enhancement of US image. Histogram equalization (HE) is very popular for contrast enhancement. But conventional HE methods do not consider brightness and detail preservation simultaneously during contrast enhancement of US image. In case of our proposed method brightne...

This paper describes ongoing research into the application of pattern recognition to incised documents, for which grooves and other structural surface markings are signi2cant, rather than surface coloration. We deduce incised stroke information by imaging the document under a carefully selected set of lighting conditions that cause shadows to be cast, and observing the position and motion of sh...