System and method for robust multi-frame demosaicing and color super resolution
First Claim
1. A method of creating a super-resolved color image from a plurality of lower-resolution color images, the method comprising:
- a. enforcing by a computer similarities between raw data and a high-resolution image estimate, wherein said enforcing uses a data fidelity penalty term, wherein said data fidelity penalty term is an L1 norm penalty term;
b. encouraging by a computer sharp edges in a luminance component to said high-resolution image, wherein said encouraging uses a spatial luminance penalty term;
c. encouraging by a computer smoothness in a chrominance component of said high-resolution image, wherein said encouraging uses a spatial chrominance penalty term;
d. encouraging by a computer homogeneity of an edge location and orientation in different color bands, wherein said encouraging uses an inter-color dependencies penalty term; and
e. a super-resolved color image is displayed on an computer monitor.
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Accused Products
Abstract
A method of creating a super-resolved color image from multiple lower-resolution color images is provided by combining a data fidelity penalty term, a spatial luminance penalty term, a spatial chrominance penalty term, and an inter-color dependencies penalty term to create an overall cost function. The data fidelity penalty term is an L1 norm penalty term to enforce similarities between raw data and a high-resolution image estimate, the spatial luminance penalty term is to encourage sharp edges in a luminance component to the high-resolution image, the spatial chrominance penalty term is to encourage smoothness in a chrominance component of the high-resolution image, and the inter-color dependencies penalty term is to encourage homogeneity of an edge location and orientation in different color bands. A steepest descent optimization is applied to the overall cost function for minimization by applying a derivative to each color band while the other color bands constant.
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Citations
12 Claims
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1. A method of creating a super-resolved color image from a plurality of lower-resolution color images, the method comprising:
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a. enforcing by a computer similarities between raw data and a high-resolution image estimate, wherein said enforcing uses a data fidelity penalty term, wherein said data fidelity penalty term is an L1 norm penalty term; b. encouraging by a computer sharp edges in a luminance component to said high-resolution image, wherein said encouraging uses a spatial luminance penalty term; c. encouraging by a computer smoothness in a chrominance component of said high-resolution image, wherein said encouraging uses a spatial chrominance penalty term; d. encouraging by a computer homogeneity of an edge location and orientation in different color bands, wherein said encouraging uses an inter-color dependencies penalty term; and e. a super-resolved color image is displayed on an computer monitor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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Specification