Image processing method and apparatus

Claim 2

An image processing method comprising the steps of: applying sharpness enhancement to original image data to generate sharpness enhanced image data for a wholly sharpened image; performing edge detection on said original image data to determine edge intensity data for distinguishing an edge region of an object and the other region in an image; determining a blur retaining but sharpness enhancing coefficient for enhancing sharpness of the edge region of the object but retaining blur of the image in the other region of the edge region of the object based on the edge intensity data; subtracting said original image data from said sharpness enhanced image data to generate a sharpness enhancing component; multiplying the sharpness enhancing component by said blur retaining but sharpness enhancing coefficient to give a blur retaining but sharpness enhancing component; and adding the blur retaining but sharpness enhancing component to said original image data to generate processed image data for an image enhanced in the sharpness while retaining the blur.

Claim 3

The method according to claim 1 , wherein said other region of the edge region of the object includes a blurred image region in which the blur of the image is to be retained.

Claim 4

The method according to claim 2 , wherein said blur retaining but sharpness enhancing coefficient has a value equal or nearly equal to 1.0 in said edge region of the object, slowly decreases with the increasing distance from said edge region of the object and has a preset value of from 0.0 to less than 1.0 in the blurred image region.

Claim 5

The method according to claim 2 , wherein said blur retaining but sharpness enhancing coefficient is expressed by the following equation (1): C BS ( x,y )= b 0 +(1 −b 0 ) E V ( x,y )  (1) where C BS (x,y) is the blur retaining but sharpness enhancing coefficient, E V (x,y) is said edge intensity data which is normalized (0≦E V ≦1), and b 0 is a blur region sharpness enhancing coefficient for adjusting degree of sharpness enhancement to be applied to the blurred image region which is other than the edge region of the object.

Claim 6

The method according to claim 1 , further comprising the steps of: smoothing said original image data to generate smoothed image data; subtracting said smoothed image data from said sharpness enhanced image data to generate an edge/noise component including both a sharpness enhanced edge component of an object image and a sharpness enhanced noise component; determining a noise region weighting coefficient from said edge intensity data, identifying a noise component based on said noise region weighting coefficient and said noise/edge component and producing a noise suppressing component that introduces small variations in the noise component; and scaling said blur retaining but sharpness enhancing component to generate a first scaled component, adding the first scaled component to said original image data, scaling said noise suppressing component to generate a second scaled component and subtracting the second scaled component from said original image data, thereby creating the processed image data for the image that retains the blur but which is enhanced in sharpness and has the noise component suppressed.

Claim 7

An image processing apparatus comprising: a sharpness enhancing unit for applying sharpness enhancement to original image data to generate sharpness enhanced image data for a wholly sharpened image; an edge detecting and computing unit for performing edge detection on said original image data and determining edge enhancement data for distinguishing between an edge region of an object and the other region in an image; a blur retaining coefficient computing unit by which a blur retaining but sharpness enhancing coefficient for retaining blur of the image in the other region of the edge region of the object is determined from said edge intensity data; a blur retaining but sharpness enhancing component computing unit for producing a blur retaining but sharpness enhancing component from said original image data, the sharpness enhanced image data generated in said sharpness enhancing unit, and the blur retaining but sharpness enhancing coefficient determined in said blur retaining coefficient computing unit; and a blur retaining and sharpness enhancing unit for adding said blur retaining but sharpness enhancing component produced by said blur retaining but sharpness enhancing component computing unit to said original image data, thereby creating processed image data for an image that retains the blur but which is enhanced in the sharpness.

Claim 8

An image processing apparatus comprising: a sharpness enhancing unit for applying sharpness enhancement to original image data to generate sharpness enhanced image data for a wholly sharpened image; an edge detecting and computing unit for performing edge detection on said original image data and determining edge enhancement data for distinguishing between an edge region of an object and the other region in an image; a blur retaining coefficient computing unit by which a blur retaining but sharpness enhancing coefficient for retaining blur of the image in the other region of the edge region of the object is determined from said edge intensity data; a blur retaining but sharpness enhancing component computing unit for producing a blur retaining but sharpness enhancing component from said original image data, the sharpness enhanced image data generated in said sharpness enhancing unit, and the blur retaining but sharpness enhancing coefficient determined in said blur retaining coefficient computing unit; and a blur retaining and sharpness enhancing unit for adding said blur retaining but sharpness enhancing component produced by said blur retaining but sharpness enhancing component computing unit to said original image data, thereby creating processed image data for an image that retains the blur but which is enhanced in the sharpness.

Claim 9

The apparatus according to claim 6 , wherein said other region of the edge region of the object includes a blurred image region in which the blur of the image is to be retained.

Claim 10

The apparatus according to claim 7 , wherein said blur retaining but sharpness enhancing coefficient has a value equal or nearly equal to 1.0 in said edge region of the object, slowly decreases with the increasing distance from said edge region of the object and has a preset value of from 0.0 to less than 1.0 in the blurred image region.

Claim 11

The apparatus according to claim 7 , wherein said blur retaining but sharpness enhancing coefficient is expressed by the following equation (1): C BS ( x,y )= b 0 +(1 −b 0 ) E V ( x,y )  (1) where C BS (x,y) is the blur retaining but sharpness enhancing coefficient, E V (x,y) is said edge intensity data which is normalized (0 ≦E V ≦1), and b 0 is a blur region sharpness enhancing coefficient for adjusting degree of sharpness enhancement to be applied to the blurred image region which is other than the edge region of the object.

Claim 12

The apparatus according to claim 6 , further comprising: a smoothing unit for smoothing said original image data to generate smoothed image data; a noise region weighting coefficient computing unit for determining a noise region weighting coefficient from said edge intensity data; an edge/noise component extracting unit for subtracting said smoothed image data from said sharpness enhanced image data to generate an edge/noise component including both a sharpness enhanced edge component of an object image and a sharpness enhanced noise component; a noise suppressing component computing section for identifying a noise component based on said edge/noise component and said noise region weighting coefficient and producing a noise suppressing component that introduces small variations in the noise component; and a blur retaining, sharpness enhancing and noise suppressing section for scaling said blur retaining but sharpness enhancing component to generate a first scaled component, adding the first scaled component to said original image data, scaling said noise suppressing component to generate a second scaled component and subtracting the second scaled component from said original image data, thereby creating the processed image data for the image that retains the blur but which is enhanced in the sharpness and has the noise component suppressed.