Block noise level evaluation method for compressed images and control method of imaging device utilizing the evaluation method

• US 20060034531A1
• Filed: 05/10/2005
• Published: 02/16/2006
• Est. Priority Date: 05/10/2004
• Status: Abandoned Application

• Current Assignee: Seiko Epson Corporation (Seiko Group)
• Original Assignee: Seiko Epson Corporation (Seiko Group)
• Inventors: Poon, Eunice, Clarke, Ian, Kanda, Megumi
• Application Number:
  US11/125,326
• Publication Number:
  US 20060034531A1
• Time in Patent Office: Days
• US Class Current: 382/239
• CPC Class Codes: G06T 2207/30168 Image quality inspection
• CPC Class Codes: G06T 7/0002 Inspection of images, e.g. flaw detection
• CPC Class Codes: H04N 17/004 for digital television systems
• CPC Class Codes: H04N 19/60 using transform coding
• CPC Class Codes: H04N 19/86 involving reduction of coding artifacts, e.g. of blockiness
• CPC Class Codes: H04N 21/485 End-user interface for client configuration

Abstract

The technique of the invention converts an object RGB image into an image in a YIQ color space, calculates a luminance variation at each target pixel from Y channel values of the target pixel and an adjacent pixel adjoining to the target pixel, and computes a smoothness degree of luminance variation at the target pixel as summation of absolute values of differences between luminance variations at the target pixel and adjacent pixels. A block noise evaluation value B is obtained as a ratio of an average smoothness degree ave(psx), ave(psy) of luminance variation for boundary pixels located on each block boundary to an average smoothness degree ave(nsx), ave(nsy) of luminance variation for inner pixels not located on the block boundary. The block noise evaluation value B closer to 1 gives an evaluation result of a lower level of block noise, whereas the block noise evaluation value B closer to 10 gives an evaluation result of a higher level of block noise.

Claims

1. A block noise level evaluation method that evaluates a level of potential block noise arising on each block boundary in a compressed image, which is obtained by compression subsequent to division of an original image into multiple blocks of a preset number of pixels both in a horizontal direction and in a vertical direction,

said block noise level evaluation method comprising the steps of:

(a) calculating a luminance variation at each target pixel in the compressed image from luminance values of the target pixel and of an adjacent pixel adjoining to the target pixel in a preset direction;

(b) computing a smoothness degree of luminance variation at the target pixel from an anterior difference between the calculated luminance variations at the target pixel and an anterior pixel adjoining to the target pixel in the preset direction and a posterior difference between the calculated luminance variations at the target pixel and a posterior pixel adjoining to the target pixel in the preset direction;

(c) computing a block noise evaluation index from a specific ratio of an average smoothness degree of luminance variation for boundary pixels located on the block boundary to an average smoothness degree of luminance variation for inner pixels not located on the block boundary; and

(d) evaluating the level of potential block noise corresponding to the computed block noise evaluation index.

2. A block noise level evaluation method in accordance with claim 1, wherein the preset direction includes both the vertical direction and the horizontal direction.

3. A block noise level evaluation method in accordance with claim 2, wherein said step (c) computes the block noise evaluation index from an average of the specific ratio in the vertical direction and the specific ratio in the horizontal direction.

4. A block noise level evaluation method in accordance with claim 1, wherein the preset direction is either one of the vertical direction and the horizontal direction.

5. A block noise level evaluation method in accordance with claim 1, wherein said step (a) sets a difference between the luminance values of the target pixel and of the adjacent pixel adjoining to the target pixel in the preset direction to the luminance variation at the target pixel.

6. A block noise level evaluation method in accordance with claim 1, wherein said step (b) sets summation of absolute values of the anterior difference between the luminance variations at the target pixel and the anterior pixel in the preset direction and the posterior difference between the luminance variations at the target pixel and the posterior pixel in the preset direction to the smoothness degree of luminance variation at the target pixel.

7. A block noise level evaluation method in accordance with claim 1, wherein said step (c) computes the block noise evaluation index to increase with a rise in level of potential block noise.

8. A block noise level evaluation method in accordance with claim 7, wherein said step (c) computes the block noise evaluation index to have a numerical value in a value range of 1 to 10.

9. A block noise level evaluation method that evaluates a level of potential block noise arising on each block boundary in a compressed image, which is obtained by compression subsequent to division of an original image into multiple blocks of a preset number of pixels,

said block noise level evaluation method comprising the steps of:

(a) calculating a luminance variation at each target pixel in the compressed image from luminance values of the target pixel and of an adjacent pixel adjoining to the target pixel in a preset direction;

(b) computing a smoothness degree of luminance variation at the target pixel from an anterior difference between the calculated luminance variations at the target pixel and an anterior pixel adjoining to the target pixel in the preset direction and a posterior difference between the calculated luminance variations at the target pixel and a posterior pixel adjoining to the target pixel in the preset direction; and

(c) evaluating the level of potential block noise, based on the computed smoothness degrees of luminance variation for boundary pixels located on the block boundary.

10. A control method of an imaging device that stores a compressed image, which is obtained by compression subsequent to division of an original image into multiple blocks of a preset number of pixels both in a horizontal direction and in a vertical direction, into a storage medium,

said control method comprising the steps of:

(a) evaluating a level of potential block noise arising on each block boundary in the compressed image; and

(b) when the evaluated level of potential block noise is greater than a preset level, regenerating a compressed image with a reduced compression rate and reevaluating the level of potential block noise in the regenerated compressed image in said step (a),

when the evaluated level of potential block noise is not greater than the preset level, storing the compressed image into the storage medium.

11. A control method in accordance with claim 10, wherein said step (a) calculates a luminance variation at each target pixel in the compressed image from luminance values of the target pixel and of an adjacent pixel adjoining to the target pixel in a preset direction,

computes a smoothness degree of luminance variation at the target pixel from an anterior difference between the calculated luminance variations at the target pixel and an anterior pixel adjoining to the target pixel in the preset direction and a posterior difference between the calculated luminance variations at the target pixel and a posterior pixel adjoining to the target pixel in the preset direction,

computes a block noise evaluation index from a specific ratio of an average smoothness degree of luminance variation for boundary pixels located on the block boundary to an average smoothness degree of luminance variation for inner pixels not located on the block boundary, and

evaluates the level of potential block noise corresponding to the computed block noise evaluation index.

12. A control method in accordance with claim 11, wherein the preset direction includes both the vertical direction and the horizontal direction.

13. A control method in accordance with claim 12, wherein said step (a) computes the block noise evaluation index from an average of the specific ratio in the vertical direction and the specific ratio in the horizontal direction.

14. A control method in accordance with claim 11, wherein the preset direction is either one of the vertical direction and the horizontal direction.

15. A control method in accordance with claim 11, wherein said step (a) sets a difference between the luminance values of the target pixel and of the adjacent pixel adjoining to the target pixel in the preset direction to the luminance variation at the target pixel.

16. A control method in accordance with claim 11, wherein said step (a) sets summation of absolute values of the anterior difference between the luminance variations at the target pixel and the anterior pixel in the preset direction and the posterior difference between the luminance variations at the target pixel and the posterior pixel in the preset direction to the smoothness degree of luminance variation at the target pixel.

17. A control method in accordance with claim 11, wherein said step (a) computes the block noise evaluation index to increase with a rise in level of potential block noise.

18. A control method in accordance with claim 10, wherein said step (b) generates a compressed image with a predetermined compression rate set to a default.

19. A control method in accordance with claim 10, wherein when the evaluated level of potential block noise is greater than the preset level, said step (b) sequentially selects one of preset compression rates, which decrease stepwise, regenerates a compressed image with the selected compression rate and stores the compressed image.

20. A control method in accordance with claim 10, said control method further comprising the step of:

(c) displaying the evaluated level of potential block noise.

21. A control method in accordance with claim 20, wherein said step (c) displays the evaluated level of potential block noise by at least either of numerical representation and graphical representation.

22. A control method in accordance with claim 20, wherein in response to a user'"'"'s instruction of generating a compressed image with a reduced compression rate, said step (b) generates the compressed image with the reduced compression rate and stores the compressed image.

23. An imaging device that stores a compressed image, which is obtained by compression subsequent to division of an original image into multiple blocks of a preset number of pixels both in a horizontal direction and in a vertical direction, into a storage medium,

said imaging device having a controller that performs control to evaluate a level of potential block noise arising on each block boundary in the compressed image, and

when the evaluated level of potential block noise is greater than a preset level, to regenerate a compressed image with a reduced compression rate and to reevaluate the level of potential block noise in the regenerated compressed image,

when the evaluated level of potential block noise is not greater than the preset level, to store the compressed image into the storage medium.

24. An image storage method that stores an image, said image storage method comprising the steps of:

(a) generating a compressed image by compression subsequent to division of an original image into multiple blocks of a preset number of pixels both in a horizontal direction and in a vertical direction;

(b) evaluating a level of potential block noise arising on each block boundary in the compressed image; and

(c) when the evaluated level of potential block noise is greater than a preset level, regenerating a compressed image with a reduced compression rate and reevaluating the level of potential block noise in the regenerated compressed image,

when the evaluated level of potential block noise is not greater than the preset level, storing the compressed image into the storage medium.

25. An image storage method in accordance with claim 24, wherein said step (b) calculates a luminance variation at each target pixel in the compressed image from luminance values of the target pixel and of an adjacent pixel adjoining to the target pixel in a preset direction,

computes a smoothness degree of luminance variation at the target pixel from an anterior difference between the calculated luminance variations at the target pixel and an anterior pixel adjoining to the target pixel in the preset direction and a posterior difference between the calculated luminance variations at the target pixel and a posterior pixel adjoining to the target pixel in the preset direction,

computes a block noise evaluation index from a specific ratio of an average smoothness degree of luminance variation for boundary pixels located on the block boundary to an average smoothness degree of luminance variation for inner pixels not located on the block boundary, and

evaluates the level of potential block noise corresponding to the computed block noise evaluation index.

26. An image storage method that stores an image, said image storage method comprising the step of:

when a level of potential block noise is greater than a preset level, generating a compressed image with a reduced compression rate and storing the compressed image,

when the level of potential block noise is not greater than the preset level, generating a compressed image with a predetermined compression rate and storing the compressed image.

27. An image storage method that stores an image, said image storage method comprising the step of:

when a level of potential block noise is greater than a preset level, storing a compressed image with a reduced compression rate and a compressed image with a predetermined compression rate.