Signal Processing, Inc.

Jin Zhou

Chiman Kwan

A method for removing noise from a noisy image includes a few important steps. The noise level of the noisy image is first estimated based on the smooth blocks of the image. The original image is divided into many small blocks. Each of these blocks is then converted from a two dimensional matrix to vector, which is a one dimensional array. The converted vectors are next grouped and then a matrix recovery process based on a principal component analysis (PCA) has been performed in order to remove the noise, wherein the key is to determine the number of principal components to retain during the denoising process. Next, the denoised vectors are converted back to the denoised blocks, and the denoised blocks are used to reconstruct a denoised image with a better image quality.

Method for image denoising

A noise cancellation device (NCD) comprises a microphone, an analog-to-digital converter, a digital-to-analog converter, a rechargeable battery, and a processor. The NCD acquires an audio input, from an external device such as a stethoscope or a cell phone, and passes the analog data into an ADC (analog-to-digital converter) for signal conversion. The digitized signals are then passed to the processor for further processing. The processor contains all the processing functions such as preprocessing (divide the input data into frames and apply shaping function to each frame), short term Fourier transform (STFT), adaptive filtering, inverse STFT, and signal synthesis.

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North Potomac, MD, United States of America

Jin Zhou