Filter setting learning for binary sensors

Abstract

The present invention relates to the use of binary pixels to form images. A binary pixel is a pixel that has only two states, the white state when the pixel is exposed and the black state when the pixel is not. Binary pixels have color filters on top of them, and the setting of the color filters may initially be unknown. Settings using statistical methods can be used to determine color filter settings to produce the correct output image. The color filter information can then be utilized with the binary pixels to generate an image from the input image recorded by the binary pixel array.

Description

technical field [0001] The present invention relates to image processing, and more particularly to filter setting learning for binary sensors. Background technique [0002] A binary image sensor may include, for example, more than 10 arranged in a two-dimensional array 9 a separate photodetector. Each individual photodetector has two possible states: an unexposed "black" state and an exposed "white" state. Therefore, a single detector does not reproduce different shades of gray. The local brightness of an image can be determined, for example, by the local spatial density of white pixels. The size of the individual photodetectors of the binary image sensor may be smaller than the minimum size of the focal spot, which may be provided by the imaging optics of the digital camera. [0003] However, due to the large data size, storing or transmitting such binary digital images may be difficult or impossible. The resulting image data may be so large that it becomes impractical...

AI Technical Summary

Problems solved by technology

[0003] However, storing or transmitting such binary digital images may be difficult or impossible due to the large data size

The resulting image data can be so large that it becomes impractical to store and process the binary digital image in a digital camera or even in a desktop computer

Images