Method and device for image processing, and apparatus for image formation

1. A method for image processing, comprising:

obtaining original image data, the original image data including a plurality of Band data generated by an image reader, wherein each of the plurality of Band data corresponds to a scanning row;

detecting a tilt angle of an image according to the original image data, wherein detecting the tilt angle of the image includes identifying a boundary of the image according to the original image data and identifying an image area according to the boundary of the image;

performing a binarization processing on the original image data to obtain binarized image data, wherein the binarization processing and detecting the tilt angle are performed in parallel; and

performing a rotation correction on the binarized image data according to the detected tilt angle, so that a rotated binarized image data corresponding to the binarized image data is generated based on the detected tilt angle.

2. The method according to claim 1 , wherein detecting the tilt angle of the image includes:

based on the image area corresponding to the original image data, detecting the tilt angle of the image.

3. The method according to claim 2 , wherein performing the binarization processing includes:

according to the image area corresponding to the original image data, identifying and obtaining an image area corresponding to the binarized image data; and

according to the image area corresponding to the binarized image data, finding out an image area corresponding to the binarized image data after a background removal.

4. The method according to claim 1 , wherein detecting the tilt angle of the image according to the original image data includes:

obtaining coordinates of two data points from a same boundary of the image; and

calculating the tilt angle of the image using the coordinates of the two data points.

5. The method according to claim 1 , wherein performing the binarization processing on the original image data includes:

converting the original image data into the binarized image data using one of a threshold matrix algorithm and an error-diffusion algorithm.

6. The method according to claim 1 , wherein:

the original image data is M-bit data, and the binarized image data is N-bit data, wherein M and N are positive integers, and M is greater than N.

7. The method according to claim 1 , wherein:

the image includes a plurality of data blocks, and

detecting the tilt angle of the image further includes:

calculating an average value of pixel values of pixels in each data block;

calculating a mean square deviation of a pixel value of each pixel and the average value in the each data block;

calculating an average value of a sum of mean square deviations in each data block;

determining whether the average value of the sum of the mean square deviations in each data block is greater than a threshold value; and

assigning a pixel value of one of 0 and 255 to a corresponding data block according to a determination result.

8. A device for image processing, comprising:

a memory, storing program instructions for a method for image processing; and

one or more processors, coupled to the memory and, when executing the program instructions, configured to:

obtain original image data, the original image data including a plurality of Band data generated by an image reader, wherein each of the plurality of Band data corresponds to a scanning row;

detect a tilt angle of an image according to the original image data, wherein detecting the tilt angle of the image includes identifying a boundary of the image according to the original image data and identifying an image area according to the boundary of the image;

perform a binarization processing on the original image data to obtain binarized image data, wherein the binarization processing and detecting the tilt angle are performed in parallel; and

perform a rotation correction on the binarized image data according to the detected tilt angle, so that a rotated binarized image data corresponding to the binarized image data is generated based on the detected tilt angle.

9. The device according to claim 8 , wherein the one or more processors are further configured to:

based on the image area corresponding to the original image data, detect the tilt angle of the image.

10. The device according to claim 9 , wherein the one or more processors are further configured to:

according to the image area corresponding to the original image data, identify and obtain an image area corresponding to the binarized image data; and

according to the image area corresponding to the binarized image data, find out an image area corresponding to the binarized image data after a background removal.

11. The device according to claim 8 , wherein the one or more processors are further configured to:

obtain coordinates of two data points from a same boundary of the image; and

calculate the tilt angle of the image using the coordinates of the two data points.

12. The device according to claim 8 , wherein the one or more processors are further configured to:

convert the original image data into the binarized image data using one of a threshold matrix algorithm and an error-diffusion algorithm.

13. The device according to claim 8 , wherein:

the original image data is M-bit data, and the binarized image data is N-bit data, wherein M and N are positive integers, and M is greater than N.

14. An apparatus for image formation, comprising the device for image processing according to claim 8 .

15. A non-transitory computer readable storage medium containing computer-executable program instructions for, when executed by a processor, performing a method for image processing, the method comprising:

obtaining original image data, the original image data including a plurality of Band data generated by an image reader, wherein each of the plurality of Band data corresponds to a scanning row;

detecting a tilt angle of an image according to the original image data, wherein detecting the tilt angle of the image includes identifying a boundary of the image according to the original image data and identifying an image area according to the boundary of the image;

performing a binarization processing on the original image data to obtain binarized image data, wherein the binarization processing and detecting the tilt angle are performed in parallel; and

performing a rotation correction on the binarized image data according to the detected tilt angle, so that a rotated binarized image data corresponding to the binarized image data is generated based on the detected tilt angle.

16. The storage medium according to claim 15 , wherein detecting the tilt angle of the image includes:

based on the image area corresponding to the original image data, detecting the tilt angle of the image.

17. The storage medium according to claim 16 , wherein performing the binarization processing includes:

according to the image area corresponding to the original image data, identifying and obtaining an image area corresponding to the binarized image data; and

according to the image area corresponding to the binarized image data, finding out an image area corresponding to the binarized image data after a background removal.

18. The storage medium according to claim 15 , wherein detecting the tilt angle of the image according to the original image data includes:

obtaining coordinates of two data points from a same boundary of the image; and

calculating the tilt angle of the image using the coordinates of the two data points.

19. The storage medium according to claim 15 , wherein performing the binarization processing on the original image data includes:

converting the original image data into the binarized image data using one of a threshold matrix algorithm and an error-diffusion algorithm.

20. The storage medium according to claim 15 , wherein:

the original image data is M-bit data, and the binarized image data is N-bit data, wherein M and N are positive integers, and M is greater than N.