Method and system for evaluating image sharpness

US2020273155A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2020273155-A1
Application numberUS-202016795949-A
CountryUS
Kind codeA1
Filing dateFeb 20, 2020
Priority dateFeb 21, 2019
Publication dateAug 27, 2020
Grant date

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  1. Title

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  5. First independent claim

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Abstract

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An image processing apparatus and method are provided which quantifies sharpness of one or more areas in an image. The sharpness processing includes acquiring an image from an image capturing apparatus, obtaining an object information characterizing a position of an object within the captured image, and controlling, based on a sharpness of each of a plurality of regions identified within the captured image according to the object information, an unit such that a sharpness information representing a numeric value regarding a sharpness of the captured image is displayed with the captured image.

First claim

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We claim: 1 . An image processing method comprising: acquiring an image from an image capturing apparatus; obtaining an object information characterizing a position of an object within the captured image, and controlling, based on a sharpness of each of a plurality of regions identified within the captured image according to the object information, an unit such that a sharpness information representing a numeric value regarding a sharpness of the captured image is displayed with the captured image. 2 . The method according to claim 1 , wherein the numeric value corresponds to an average of a sharpness evaluation value of each of the plurality of divided regions identified according to the object information. 3 . The method according to claim 1 , wherein the numeric value is corresponding to a maximum value of a sharpness evaluation value of each of the plurality of divided regions identified according to the object information. 4 . The method according to claim 1 , wherein the numeric value is corresponding to a minimum value of a sharpness evaluation value of each of the plurality of divided regions identified according to the object information. 5 . The method according to claim 1 , wherein the plurality of divided regions are located around an eye of a subject in the captured image. 6 . The method according to claim 1 , wherein a type of the object is designated by a user. 7 . The method according to claim 1 , wherein the sharpness is evaluated based on a high frequency component of image data of each divided region. 8 . The method according to claim 7 , wherein an intensity of the high frequency component is specified using a filtered data obtained by applying a high-pass filter to the image data of each divided region. 9 . The method according to claim 1 , wherein a sharpness map representing sharpness evaluation result of each of the plurality of divided regions is displayed as the sharpness information. 10 . An image processing apparatus comprising: at least one memory storing instructions; and at least one processor, that upon execution of the instructions, is configured to acquire an image from an image capturing apparatus; obtain an object information characterizing a position of an object within the captured image, and control based on a sharpness of each of a plurality of regions identified within the captured image according to the object information, an unit such that a sharpness information representing a numeric value regarding a sharpness of the captured image is displayed with the captured image. 11 . The apparatus according to claim 10 , wherein the numeric value corresponds to an average of a sharpness evaluation value of each of the plurality of divided regions identified according to the object information. 12 . The apparatus according to claim 10 , wherein the numeric value is corresponding to a maximum value of a sharpness evaluation value of each of the plurality of divided regions identified according to the object information. 13 . A non-transitory computer readable storage medium storing instructions that, when executed by at least one processor, configure the processor to perform an image processing method, the method comprising: acquiring an image from an image capturing apparatus; obtaining an object information characterizing a position of an object within the captured image, and controlling, based on a sharpness of each of a plurality of regions identified within the captured image according to the object information, an unit such that a sharpness information representing a numeric value regarding a sharpness of the captured image is displayed with the captured image. 14 . The non-transitory computer readable storage medium according to claim 13 , wherein the numeric value corresponds to an average of a sharpness evaluation value of each of the plurality of divided regions identified according to the object information. 15 . The non-transitory computer readable storage medium according to claim 1 , wherein the numeric value is corresponding to a maximum value of a sharpness evaluation value of each of the plurality of divided regions identified according to the object information.

Assignees

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Classifications

  • comprising setting of focusing regions · CPC title

  • based on contrast or high frequency components of image signals, e.g. hill climbing method · CPC title

  • G06T7/0004Primary

    Industrial image inspection · CPC title

  • Image quality inspection · CPC title

  • Modification of image resolution, i.e. determining the values of picture elements at new relative positions (H04N1/3935 takes precedence) · CPC title

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What does patent US2020273155A1 cover?
An image processing apparatus and method are provided which quantifies sharpness of one or more areas in an image. The sharpness processing includes acquiring an image from an image capturing apparatus, obtaining an object information characterizing a position of an object within the captured image, and controlling, based on a sharpness of each of a plurality of regions identified within the ca…
Who is the assignee on this patent?
Canon Usa Inc
What technology area does this patent fall under?
Primary CPC classification G06T7/0004. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Aug 27 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).