Comment on ``Noise Suppression by Time Exposure Oscilloscope Photography''

Noise suppression by noise.

We have analyzed the interplay between an externally added noise and the intrinsic noise of systems that relax fast towards a stationary state, and found that increasing the intensity of the external noise can reduce the total noise of the system. We have established a general criterion for the appearance of this phenomenon and discussed two examples in detail.

Real-time implementation of acoustic noise suppression

Noise suppression by removing singularities

A method is proposed for suppressing Gaussian noise by extracting local singularities. The method is based on truncating Riemann series decomposition, whose components naturally characterize different orders of Hölder regularity. The approach yields a single-step filtering technique whose performance is comparable to three-step wavelet decomposition and thresholding techniques.

Shape-Time Photography

We introduce a new method to describe shape relationships over time in a photograph. We acquire both range and image information in a sequence of frames using a stationary stereo camera. From the pictures taken, we compute a composite image consisting of the pixels from the surfaces closest to the camera over all the time frames. Through occlusion cues, this composite reveals 3-D relationships ...

Adaptive hybrid mean and median filtering of high-ISO long-exposure sensor noise for digital photography

This paper presents a new methodology for the reduction of sensor noise from images acquired using digital cameras at highInternational Organization for Standardization (ISO) and longexposure settings. The problem lies in the fact that the algorithm must deal with hardware-related noise that affects certain color channels more than others and is thus nonuniform over all color channels. A new ad...