Abstract: In a method of filtering an image from data received from a CMOS camera, image data is loaded by a computational device from the camera. Camera parameters corresponding to the CMOS camera are loaded. Fixed pattern noise associated with the camera is removed based on the camera parameters. A readout noise estimation based on characteristics of the camera and filtering estimated readout noise from the image data is generated. Sparse filtering: selecting sub-frames within the image that have similar features; applying a three-dimensional transform on the sub-frames transforming the sub-frame data into a non-two-dimensional domain and generating a first transformed data set; filtering noise data from the first transformed data set to generate a first thresholded image data set; and applying a reverse three-dimensional transform on the first thresholded image data set so as to generate an image.

Abstract: In a method of filtering an image from data received from a CMOS camera, image data is loaded by a computational device from the camera. Camera parameters corresponding to the CMOS camera are loaded. Fixed pattern noise associated with the camera is removed based on the camera parameters. A readout noise estimation based on characteristics of the camera and filtering estimated readout noise from the image data is generated. Sparse filtering: selecting sub-frames within the image that have similar features; applying a three-dimensional transform on the sub-frames transforming the sub-frame data into a non-two-dimensional domain and generating a first transformed data set; filtering noise data from the first transformed data set to generate a first thresholded image data set; and applying a reverse three-dimensional transform on the first thresholded image data set so as to generate an image.