Conversion and module from primitive Bayer interpolation to full color

An interpolation, green technology, applied in the field of hardware circuit implementation, can solve the problems of unsuitable engineering application, many judgment operations, prone to color cast, etc., to achieve smooth color changes, speed up processing, and easy to achieve.
CN1780405AInactive Publication Date: 2006-05-31CHIPNUTS TECH INC
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
CHIPNUTS TECH INC
Publication Date
2006-05-31
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The method includes following steps: the global describing parameters for each image, interpolate-case and deadzoom-threshold, are introduced to separately describe whole estimation direction and gradient threshold of current image; aiming at feature of Bayer image, tonal range estimation for each pixel and its neighboring pixel is introduced. The feature of invention is: first acquiring the green component from full image, and then acquiring the remaining color components, red and blue.
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Description

Technical field

[0001] The present invention relates to a kind of interpolation conversion method and module, can obtain the full-color (RGB) image of each pixel through the original data (usually Bayer (Bayer)) image array obtained from graphic sensor, save system Resources are not only suitable for software programs, but are especially suitable for hardware circuit implementation because they can be processed in parallel. Background technique

[0002] To collect color digital images, a sensor array with three channels of RGB must be used. However, in order to reduce costs, the current common original graphic photosensitive arrays are monochromatic sampling photosensitive arrays in which each pixel has only a certain color (one of R / G / B). There is more than one specific array format, but in order to achieve the final full-size high-color application, some method must be used to recover the lost color components. Simply doing the average operation on the pixel neighborhood...

Claims

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