temporal filtering and their concepts in image/signal/video processing
filter, image-processing, signal-processing, video-processing
Solution
Gaussian filtering is a low pass filtering, which means it blurs the signal, attenuating its high frequency components.
Gaussian spatial filtering (applied on an image) will blur the image, smoothing out rapid variations like strong edges.
Gaussian temporal filtering (applied on a sequence of images) will blur the sequence evolution, smoothing out the temporal variation, like a rapid variation in illumination or movement of an object. It's a gaussian filtering of the signal obtained by the temporal evolution of each single pixel.
Problem
I am completely new to Image processing. I am confused by temporal filtering and its concepts. I am eager to know, for instance, what is the difference between gaussian temporal filtering and gaussian filtering when both of them are applied to a sequence of frames in real-time? Thanks in advance