Image evaluation device, image selection device, image evaluation method, recording medium, and program
View Patent ↗An image evaluation device ( 101 ) properly evaluating the graininess (or roughness) of an image is provided. The blurer ( 102 ) creates a second image b by blurring a first image a. The differentiator ( 103 ) creates a third image c presenting the difference between the first image a and second image b. The pixel value of each pixel of the third image c presents the difference in pixel value between the pixels at the same position in the first image a and second image b. The scanner ( 104 ) scans the pixels contained in the third image c, obtains the differences in pixel value between adjoining pixels, and obtains the respective probabilities of occurrence of the differences. The calculator ( 105 ) calculates the entropy from the obtained, respective probabilities of occurrence of the differences. The outputter ( 106 ) outputs the entropy as the evaluation value of the graininess (or roughness) of the first image.
1. An image evaluation device, comprising:
a blurer creating a second image by blurring a first image;
a differentiator creating a third image presenting a difference in pixel value of each pixel between the first image and the second image;
a scanner scanning pixels contained in the third image, obtaining differences in pixel value between adjoining pixels, and obtaining respective probabilities of occurrence of the obtained differences;
a calculator calculating an entropy from the respective probabilities of occurrence of the obtained differences; and
an outputter outputting the entropy as an evaluation value of a graininess of the first image.
2. The image evaluation device according to claim 1 , wherein:
the scanner scans the pixels contained in the third image from left to right and from top to bottom.
3. The image evaluation device according to claim 1 , wherein:
the scanner scans the pixels contained in the third image along a space-filling curve.
4. The image evaluation device according claim 1 , wherein:
a pixel value of each pixel contained in the third image is a distance between a pixel value at the position of that pixel in the first image and a pixel value at the position of that pixel in the second image in a given color space.
5. The image evaluation device according to claim 1 , wherein:
the difference in pixel value between the adjoining pixels is a distance between pixel values of the adjoining pixels in a given color space.
6. An image selection device, comprising:
a receiver receiving multiple images depicting an object;
an acquirer acquiring an evaluation value of a graininess of each of the multiple received images from the image evaluation device according to claim 1 ; and
a selector selecting the least rough image from the multiple received images based on the acquired graininess evaluation values.
7. An image evaluation method executed by an image evaluation device comprising a blurer, a differentiator, a scanner, a calculator, and an outputter, comprising:
a blurring step in which the blurer creates a second image by blurring a first image;
a differentiation step in which the differentiator creates a third image presenting a difference in pixel value of each pixel between the first image and the second image;
a scanning step in which the scanner scans pixels contained in the third image, obtains differences in pixel value between adjoining pixels, and obtains the respective probabilities of occurrence of the obtained differences;
a calculation step in which the calculator calculates an entropy from the respective probabilities of occurrence of the obtained differences; and
an output step in which the outputter outputs the entropy as an evaluation value of a graininess of the first image.
8. A non-transitory computer-readable recording medium on which a program is recorded that allows a computer to function as:
a blurer creating a second image by blurring a first image;
a differentiator creating a third image presenting a difference in pixel value of each pixel between the first image and the second image;
a scanner scanning pixels contained in the third image, obtaining differences in pixel value between adjoining pixels, and obtaining respective probabilities of occurrence of the obtained differences;
a calculator calculating an entropy from the respective probabilities of occurrence of the obtained differences; and
an outputter outputting the entropy as an evaluation value of a graininess of the first image.