Image Processing Device
AssigneeKabushiki Kaisha Toshiba
InventorsYosuke Bando, Tomoyuki Nishida
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Abstract
An image processing device according to an example of the invention comprises a differentiating section which differentiates input image data to generate gradient image data, a gradient domain deconvolution processing section which applies a deconvolution to the gradient image data, the deconvolution performing deblurring corresponding to a prior distribution of an image gradient of an image to generate deconvolved data, and an integrating section which integrates the deconvolved data to generate deblurred image data.
Claims16
An image processing device comprising:
- a differentiating section which differentiates input image data to generate gradient image data;
- a gradient domain deconvolution processing section which applies a deconvolution to the gradient image data, the deconvolution performing deblurring corresponding to a prior distribution of an image gradient of an image to generate deconvolved data;
- and
- an integrating section which integrates the deconvolved data to generate deblurred image data.
An image processing device comprising:
- a parameter varying section which sets one of parameter values to a blur function including a parameter and indicating a state of a blur in sequence;
- a deconvolution processing section which, on the basis of the blur function which is changed by the parameter varying section, deblurs input image data to generate a plurality of deblurred image data;
- an area dividing section which divides the input image data into a plurality of areas and generates area data indicating a result of an area division;
- and
- a local blur estimating section which selects, for each area indicated by the area data, deblurred image data satisfying an appropriate condition from the plurality of deblurred image data to generate local blur estimation data on the basis of the parameter value corresponding to the deblurred image data selected for each area.
An image processing method comprising:
- setting one of parameter values to a blur function including a parameter and indicating a state of a blur in sequence;
- deblurring input image data on the basis of the blur function which is changed by setting parameter values in sequence to generate a plurality of deblurred image data;
- dividing the input image data into a plurality of areas to generate area data indicating a result of an area division;
- and
- selecting, for each area indicated by the area data, deblurred image data satisfying an appropriate condition from the plurality of deblurred image data to generate local blur estimation data on the basis of the parameter value corresponding to the deblurred image data selected for each area.
Dependencies are inferred from the claim text.