Hybrid seam carving and scaling of images with configurable energy threshold

• US 8,270,765 B1
• Filed: 07/31/2008
• Issued: 09/18/2012
• Est. Priority Date: 07/31/2008
• Status: Active Grant

• Current Assignee: Adobe Inc.
• Original Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Inventors: Avidan, Shmuel, Chien, Jen-Chan, Intwala, Chintan
• Primary Examiner(s): Koziol, Stephen R
• Application Number:
  US12/183,942
• Time in Patent Office: 1,510 Days
• Field of Search: 382/100, 382/284, 382/293, 382/295, 382/300, 345/629
• US Class Current: 382/284
• CPC Class Codes: G06T 3/04 Context-preserving transformations, e.g. by using an importance map panospheric to cylindrical image transformations G06T3/12

Abstract

A system and method for expansion and reduction of images uses a hybrid resizing technique that combines seam carving and image scaling techniques to reduce or expand an image. Seam carving techniques may be used to remove or add seams having an average or total energy cost below a configurable threshold, where the cost of each seam is dependent on the energy values of the pixels of the seam. If a target size and/or ratio for the resized version of the image is not reached by removing or adding these seams, the hybrid resizing technique may apply standard or custom image scaling techniques to further reduce or expand the image to achieve the target size and/or ratio. The hybrid technique may be implemented by program instructions of an image editing application, and the cost threshold may be configurable by a user through a user interface of the image editing application.

Claims

1. A system, comprising:

one or more processors; and

a memory coupled to the one or more processors and storing program instructions executable by the one or more processors to implement;

in response to initiation of a single hybrid resizing operation to be performed on an image;

accessing data representing the image;

determining a respective energy value for each pixel of the image dependent on a value associated with each pixel;

identifying a plurality of seams of the image having a cost below a configurable cost threshold whose value is specified for the single hybrid resizing operation, wherein the cost of each of the identified seams is dependent on the respective energy values of pixels of the seam;

performing a resizing operation on the image along the plurality of identified seams to produce a resized version of the image, wherein said performing comprises applying a seam carving technique; and

applying a scaling technique to at least a portion of the resized version of the image to produce a further resized version of the image.

2. The system of claim 1, wherein said applying a scaling technique is performed automatically in response to determining that the resized version of the image fails to meet a specified target size or a specified target aspect ratio for the single hybrid resizing operation.

3. The system of claim 1,

wherein the single hybrid resizing operation comprises a reduction operation;

and

wherein said performing comprises removing the pixels of the seam.

4. The system of claim 1,

wherein the single hybrid resizing operation comprises an expansion operation;

and

wherein said performing comprises replicating the pixels of the seam and inserting the replicated pixels into the image.

5. The system of claim 1, wherein the cost of each seam is dependent on one or more of:

a sum of the respective energy values of all pixels of the seam, an average of the respective energy values of all pixels of the seam, a weighted average of the respective energy values of all pixels of the seam, or a maximum value of the respective energy values of all pixels of the seam.

6. The system of claim 1, wherein said identifying a plurality of seams comprises identifying a shortest path across the image.

7. The system of claim 1, wherein said identifying a plurality of seams comprises applying a dynamic programming technique.

8. The system of claim 1, wherein the program instructions are further executable to implement modifying the cost threshold dependent on user input.

9. The system of claim 1, wherein the scaling technique is applied uniformly across the resized version of the image.

10. The system of claim 1, wherein the scaling technique is applied to a portion of the resized version of the image comprising a seam having a cost greater than or equal to the cost threshold.

11. The system of claim 1, wherein the scaling technique is applied to a portion of the resized version of the image comprising pixels of low priority.

12. The system of claim 1, wherein the value associated with each pixel represents one or more of:

an absolute color value, an absolute intensity value, a difference in color values, a difference in intensity values, a derivative of two or more pixel values, an average of two or more pixel values, a maximum of two or more pixel values, or a minimum of two or more pixel values.

13. The system of claim 1, wherein the one or more processors comprise at least one of:

a general-purpose central processing unit (CPU), or a graphics processing unit (GPU).

14. A non-transitory computer-readable storage medium, storing program instructions computer-executable to implement:

in response to initiation of a single hybrid resizing operation to be performed on an image;

accessing data representing the image;

determining a respective energy value for each pixel of the image;

identifying a plurality of seams of the image having a cost below a configurable cost threshold whose value is specified for the single hybrid resizing operation, wherein the cost of each of the identified seams is dependent on the respective energy values of pixels of the seam;

performing a resizing operation on the image along the plurality of identified seams to produce a resized version of the image, wherein said performing comprises applying a seam carving technique; and

applying a scaling technique to at least a portion of the resized version of the image to produce a further resized version of the image.

15. The storage medium of claim 14, wherein said applying a scaling technique is performed automatically in response to determining that the resized version of the image fails to meet a specified target size or a specified target aspect ratio for the single hybrid resizing operation.

16. The storage medium of claim 14,

wherein the single hybrid resizing operation comprises a reduction operation;

and

wherein said performing comprises removing the pixels of the seam.

17. The storage medium of claim 14,

wherein the single hybrid resizing operation comprises an expansion operation;

and

wherein said performing comprises replicating the pixels of the seam and inserting the replicated pixels into the image.

18. The storage medium of claim 14, wherein the cost of each seam is dependent on one or more of:

a sum of the respective energy values of all pixels of the seam, an average of the respective energy values of all pixels of the seam, a weighted average of the respective energy values of all pixels of the seam, or a maximum value of the respective energy values of all pixels of the seam.

19. The storage medium of claim 14, wherein said identifying a plurality of seams comprises one or more of:

identifying a shortest path across the image, or applying a dynamic programming technique.

20. The storage medium of claim 14, wherein the program instructions are further executable to implement modifying the cost threshold dependent on user input.

21. The storage medium of claim 14, wherein the scaling technique is applied uniformly across the resized version of the image.

22. The storage medium of claim 14, wherein the scaling technique is applied to a portion of the resized version of the image comprising a seam having a cost greater than or equal to the cost threshold.

23. The storage medium of claim 14, wherein the scaling technique is applied to a portion of the resized version of the image comprising pixels of low priority.

24. The storage medium of claim 14, wherein the value associated with each pixel represents one or more of:

an absolute color value, an absolute intensity value, a difference in color values, a difference in intensity values, a derivative of two or more pixel values, an average of two or more pixel values, a maximum of two or more pixel values, or a minimum of two or more pixel values.

25. A method, comprising:

performing by a computer in response to initiation of a single hybrid resizing operation to be performed on an image;

accessing data representing the image;

determining a respective energy value for each pixel of the image;

identifying a plurality of seams of the image having a cost below a configurable cost threshold whose value is specified for the single hybrid resizing operation, wherein the cost of each of the identified seams is dependent on the respective energy values of pixels of the seam;

performing a resizing operation on the image along the plurality of identified seams to produce a resized version of the image, wherein said performing comprises applying a seam carving technique; and

applying a scaling technique to at least a portion of the resized version of the image to produce a further resized version of the image.

26. The method of claim 25, wherein said applying a scaling technique is performed automatically in response to determining that the resized version of the image fails to meet a specified target size or a specified target aspect ratio for the single hybrid resizing operation.

27. The method of claim 25,

wherein the single hybrid resizing operation comprises a reduction operation;

and

wherein said performing comprises removing the pixels of the seam.

28. The method of claim 25,

wherein the single hybrid resizing operation comprises an expansion operation;

and

wherein said performing comprises replicating the pixels of the seam and inserting the replicated pixels into the image.

29. The method of claim 25, wherein the cost of each seam is dependent on one or more of:

a sum of the respective energy values of all pixels of the seam, an average of the respective energy values of all pixels of the seam, a weighted average of the respective energy values of all pixels of the seam, or a maximum value of the respective energy values of all pixels of the seam.

30. The method of claim 25, wherein said identifying a plurality of seams comprises one or more of:

identifying a shortest path across the image, or applying a dynamic programming technique.

31. The method of claim 25, further comprising modifying the cost threshold dependent on user input.

32. The method of claim 25, wherein the scaling technique is applied uniformly across the resized version of the image.

33. The method of claim 25, wherein the scaling technique is applied to a portion of the resized version of the image comprising a seam having a cost greater than or equal to the cost threshold.

34. The method of claim 25, wherein the scaling technique is applied to a portion of the resized version of the image comprising pixels of low priority.

35. The method of claim 25, wherein the value associated with each pixel represents one or more of:

an absolute color value, an absolute intensity value, a difference in color values, a difference in intensity values, a derivative of two or more pixel values, an average of two or more pixel values, a maximum of two or more pixel values, or a minimum of two or more pixel values.