IP Library › Granted Patent US 11,076,096
Granted Patent B2
US 11,076,096 · App. 16/627,028 · Granted Jul 27, 2021

Method for removing object to be processed from image and device for performing method

Inventors: Yongkuk Kim (Suwon-si, KR); Sungrae Cho (Seoul, KR); Yongjin Kim (Busan, KR); Junse Kim (Gwangju-si, KR)
Assignee: LINKFLOW CO., LTD
H04N5/23238G06T3/4007
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Quick Facts
Patent No.
US 11,076,096
App. No.
16/627,028
Granted
Jul 27, 2021
Kind
B2
Abstract

The present disclosure relates to a method for removing an object to be processed from an image and a device for performing the method. A method for removing an object to be processed from an image can comprise the step of: an image processing device deciding an object to be processed in an image; and the image processing device performing image post-processing with respect to the object to be processed, wherein the object to be processed can be an object which is unintentionally captured.

Claims (32)

1. A method of removing a processing-target object from an image, the method comprising:

determining, by an image processing device, the processing-target object in the image; and

performing, by the image processing device, image post-processing with respect to the processing-target object,

wherein the processing-target object is an object which has been unintentionally imaged,

wherein the processing-target object is determined based on at least one condition that the object is imaged when the object is located at a predetermined threshold distance or less from the image processing device,

wherein the processing-target object is determined further based on the at least one condition that the object is in the image for a predetermined time during the image processing device is moved, or the object appears repeatedly in the image during the image processing device is moved,

wherein the processing-target object is removed from the image, and an interpolation-target region including the processing-target object is interpolated on the basis of a frame including the processing-target object and/or a frame adjacent to the frame,

wherein the interpolation-target region is interpolated based on information on pixels located in an outer region of the interpolation-target region, the outer region includes pixels located at a predetermined distance in an opposite direction from a center of the processing-target object, and the information on the pixels of the outer region includes luminance information and chrominance information,

wherein the interpolation-target region is divided as a plurality of interpolation-target sub-regions based on a predetermined threshold degree of change of the luminance information and the chrominance information on the pixels of the outer region.

2. The method of claim 1 , wherein it is determined whether the processing-target object is present in a determination-target region, and

the determination-target region is decided by learning imaging locations of objects which are included in a plurality of images and identical to the processing-target object.

3. The method of claim 2 , wherein the image is an omnidirectional image generated by an omnidirectional image processing device including a plurality of image capturing units, and

the omnidirectional image processing device is a wearable device.

4. The method of claim 3 , wherein the processing-target object is a body part of a user wearing the omnidirectional image processing device.

5. The image processing device of claim 1 , wherein the processing-target object is removed from the image, and

an interpolation-target region including the processing-target object is interpolated on the basis of a frame including the processing-target object and/or a frame adjacent to the frame.

6. The method of claim 1 , wherein the interpolation-target region is further interpolated based on at least one reference frame, the interpolation-target region is included in an interpolation-target frame, the at least one reference frame is generated within a threshold time from a time point of the interpolation-target frame, the at least one reference frame includes the reference region corresponding to the interpolation-target region, and the at least one reference frame is determined based on luminance and chrominance information of the reference region.

7. An image processing device for removing a processing-target object from an image, the image processing device comprising:

a communication unit configured to communicate with an external device; and

a processor configured to be operatively connected to the communication unit,

wherein the processor decides the processing-target object in the image and performs image post-processing with respect to the processing-target object, and

the processing-target object is an object which has been unintentionally imaged,

wherein the processing-target object is determined based on at least one condition that the object is imaged when the object is located at a predetermined threshold distance or less from the image processing device,

wherein the processing-target object is determined further based on the at least one condition that the object is in the image for a predetermined time during the image processing device is moved, or the object appears repeatedly in the image during the image processing device is moved,

wherein the processing-target object is removed from the image, and an interpolation-target region including the processing-target object is interpolated on the basis of a frame including the processing-target object and/or a frame adjacent to the frame,

wherein the interpolation-target region is interpolated based on information on pixels located in an outer region of the interpolation-target region, the outer region includes pixels located at a predetermined distance in an opposite direction from a center of the processing-target object, and the information on the pixels of the outer region includes luminance information and chrominance information,

wherein the interpolation-target region is divided as a plurality of interpolation-target sub-regions based on a predetermined threshold degree of change of the luminance information and the chrominance information on the pixels of the outer region.

8. The image processing device of claim 7 , wherein it is determined whether the processing-target object is present in a determination-target region, and

the determination-target region is decided by learning imaging locations of objects which are included in a plurality of images and identical to the processing-target object.

9. The image processing device of claim 8 , wherein the image is an omnidirectional image generated by an omnidirectional image processing device including a plurality of image capturing units, and

the omnidirectional image processing device is a wearable device.

10. The image processing device of claim 9 , wherein the processing-target object is a body part of a user wearing the omnidirectional image processing device.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 10, 2020
From: KIM, YONGKUK; CHO, SUNGRAE; KIM, YONGJIN; KIM, JUNSE
To: LINKFLOW CO., LTD
Reel/Frame 051473/0540 →
Priority Claims (1)
KR 10-2017-0082441 · Jun 29, 2017 · national
Continuity (1)
Related Publication 20200120276A1 · Apr 16, 2020
Cited By (1)
US 1,138,806