Image processing apparatus and method, and a recording medium storing a program for executing the image processing method
View Patent ↗An image processing apparatus and method for quickly and effectively reducing noise in images processed by apparatuses having a low hardware specification, and a program for executing the image processing method. The image processing apparatus includes an image dividing unit for obtaining a plurality of first sub-image data items corresponding to a plurality of first sub-images that are obtained by dividing a first image corresponding to first image data, a noise reducing unit for obtaining a plurality of second sub-image data items corresponding to a plurality of second sub-images by reducing noise in the first sub-images from the first sub-image data items that are obtained by the image dividing unit, and an image synthesizing unit for obtaining second image data corresponding to a second image corresponding to the plurality of second sub-images from the plurality of second sub-image data items that are obtained by the noise reducing unit.
1. An image processing apparatus comprising:
an image dividing unit that obtains a plurality of first sub-image data items corresponding to a plurality of first sub-images that are obtained by dividing a first image corresponding to first image data, wherein the image dividing unit obtains the first sub-image data items by making data of one pixel of one first sub-image correspond to an average or a weighted average of data items of pixels included in an area having a predetermined size among pixels of the first image and by making data of another pixel adjacent to the one pixel of the one first sub-image correspond to an average or a weighted average of data items of pixels included in another area having the predetermined size among the pixels of the first image;
a noise reducing unit that obtains a plurality of second sub-image data items corresponding to a plurality of second sub-images by reducing noise in the first sub-images from the first sub-image data items that are obtained by the image dividing unit; and
an image synthesizing unit that obtains second image data corresponding to a second image corresponding to the plurality of second sub-images from the plurality of second sub-image data items that are obtained by the noise reducing unit.
2. The image processing apparatus of claim 1 , wherein the image dividing unit obtains the first sub-image data items by making the first sub-images correspond to images that are obtained by sub-sampling the first image.
3. The image processing apparatus of claim 1 , wherein the image dividing unit obtains the first sub-image data items by making data of a pixel of a first sub-image correspond to data items of pixels included in an area having a predetermined size among pixels of the first image.
4. The image processing apparatus of claim 1 , wherein the image dividing unit obtains the first sub-image data items by making data of a pixel of a first sub-image correspond to an average or a weighted average of data items of pixels included in an area having a predetermined size among pixels of the first image.
5. The image processing apparatus of claim 1 , wherein the image dividing unit obtains the first sub-image data items by making data of one pixel of one first sub-image correspond to data of pixels included in an area having a predetermined size among pixels of the first image and by making data of another pixel adjacent to the one pixel of the one first sub-image correspond to data of pixels included in another area having the predetermined size among the pixels of the first image.
6. The image processing apparatus of claim 1 , wherein the noise reducing unit uses a bilateral filter.
7. The image processing apparatus of claim 1 , wherein the image synthesizing unit obtains the second image data by making pixels of the second sub-images correspond to pixels of the second image.
8. An image processing method comprising:
(a) obtaining a plurality of first sub-image data items corresponding to a plurality of first sub-images that are obtained by dividing a first image corresponding to first image data, wherein data of one pixel of one first sub-image corresponds to an average or a weighted average of data items of pixels included in an area having a predetermined size among pixels of the first image, and data of another pixel adjacent to the one pixel of the one first sub-image corresponds to an average or a weighted average of data items of pixels included in another area having the predetermined size among the pixels of the first image;
(b) obtaining a plurality of second sub-image data items corresponding to a plurality of second sub-images by reducing noise in the first sub-images from the first sub-image data items; and
(c) obtaining second image data corresponding to a second image corresponding to the plurality of second sub-images from the plurality of second sub-image data items.
9. The image processing method of claim 8 , wherein, in operation (a), the first sub-images correspond to images that are obtained by sub-sampling the first image.
10. The image processing method of claim 8 , wherein, in operation (a), data of one pixel of a first sub-image corresponds to data items of pixels included in an area having a predetermined size among pixels of the first image.
11. The image processing method of claim 8 , wherein, in operation (a), data of one pixel of a first sub-image corresponds to an average or a weighted average of data items of pixels included in an area having a predetermined size among pixels of the first image.
12. The image processing method of claim 8 , wherein, in operation (a), data of one pixel of one first sub-image corresponds to data items of pixels included in an area having a predetermined size among pixels of the first image, and data of another pixel adjacent to the one pixel of the one first sub-image corresponds to data items of pixels included in another area having the predetermined size among the pixels of the first image.
13. The image processing method of claim 8 , wherein operation (b) is performed using a bilateral filter.
14. The image processing method of claim 8 , wherein operation (c) comprises obtaining second image data by making pixels of the second sub-images correspond to pixels of the second image.
15. A non-transitory recording medium having embodied thereon a program for controlling a computer to (a) obtain a plurality of first sub-image data items corresponding to a plurality of first sub-images that are obtained by dividing a first image corresponding to first image data, wherein data of one pixel of one first sub-image corresponds to an average or a weighted average of data items of pixels included in an area having a predetermined size among pixels of the first image, and data of another pixel adjacent to the one pixel of the one first sub-image corresponds to an average or a weighted average of data items of pixels included in another area having the predetermined size among the pixels of the first image, (b) obtain a plurality of second sub-image data items corresponding to a plurality of second sub-images by reducing noise in the first sub-images from the first sub-image data items, and (c) obtain second image data corresponding to a second image corresponding to the plurality of second sub-images from the plurality of second sub-image data items.
16. The recording medium of claim 15 , wherein, in operation (a), the first sub-images correspond to images that are obtained by sub-sampling the first image.
17. The recording medium of claim 15 , wherein, in operation (a), data of one pixel of a first sub-image corresponds to data items of pixels included in an area having a predetermined size among pixels of the first image.
18. The recording medium of claim 15 , wherein, in operation (a), data of one pixel of a first sub-image corresponds to an average or a weighted average of data items of pixels included in an area having a predetermined size among pixels of the first image.