초록 ▼

A block transform image sharpening method employs singular value decomposition to boost texture and edge detail while not boosting shaded (uniform) areas of the image characterized by a lower signal-to-noise ratio while at the same time reducing noise in other areas of the same image not containing

A block transform image sharpening method employs singular value decomposition to boost texture and edge detail while not boosting shaded (uniform) areas of the image characterized by a lower signal-to-noise ratio while at the same time reducing noise in other areas of the same image not containing much edge detail or texture.

대표청구항 ▼

A method of processing an image in a digital computer for sharpening the image, comprising the steps of: (a) generating a non-linear gain function based upon the measured statistics of the SVD singular values for image noise, said non-linear gain function being characterized by boosting factors appl

A method of processing an image in a digital computer for sharpening the image, comprising the steps of: (a) generating a non-linear gain function based upon the measured statistics of the SVD singular values for image noise, said non-linear gain function being characterized by boosting factors applicable wherever there is a high signal-to-nose ratio; (b) filtering the digital image to produce a detail image and a low pass filtered image; (c) dividing the detail image into blocks; (d) transforming the blocks employing an SVD transformation to produce singular vectors and arrays of singular values; (e) applying the non-linear gain function to the arrays of singular values to produce arrays of modified singular values whereby to boost those singular values corresponding to a higher signal-to-noise ratio; (f) performing an inverse SVD on the singular vectors with modified singular values to produce blocks of processed detail image values; and (g) combining the processed image detail values with the low pass filtered image values to produce a sharpened digital image.