摘要:
An evaluating method of image information acquires image information, performs camera shake evaluation of the image information by determining a camera shake direction on the basis of the image information, and performs out-of-focus evaluation of the image information by using information concerning a camera shake direction determined in the camera shake evaluation.
摘要:
An image correcting method includes: (a) acquiring original image information to be corrected; (b) setting a confirmation range for confirming an effect of a correction; (c) producing corrected image information; and (d) displaying, on an image display section, an original image based on the original image information and a corrected image based on the corrected image information. The confirmation range is set based on the original image information. The corrected image information is produced by correcting the original image information within the confirmation range.
摘要:
An image correcting method includes: (a) acquiring original image information to be corrected; (b) setting a confirmation range for confirming an effect of a correction; (c) producing corrected image information; and (d) displaying, on an image display section, an original image based on the original image information and a corrected image based on the corrected image information. The confirmation range is set based on the original image information. The corrected image information is produced by correcting the original image information within the confirmation range.
摘要:
The present method of evaluating image information, includes: extracting, from image information to be evaluated, a plurality of edge pixels located in a boundary of an image expressed by the image information; calculating, for each of the edge pixels, a number of pixels that include the edge pixel targeted for calculation, that exist in the boundary, and that are arranged in a direction intersecting with the boundary; and performing out-of-focus blurring evaluation of the image information on the basis of the number of pixels that exist in the boundary and a number of the edge pixels.
摘要:
An evaluation on image information is indicated before operating a shutter operating section. For example, a method of evaluating image information includes: (a) a step of converting an optical image of an object to be photographed into electrical image information; (b) a step of evaluating the image information that has not yet been stored in a non-volatile memory, wherein the image information is evaluated in a state in which a shutter operating section, on which a predetermined operation is performed when storing the image information in the non-volatile memory, is not being subjected to the predetermined operation; and (c) a step of outputting an evaluation result.
摘要:
An evaluation on image information is indicated before operating a shutter operating section. For example, a method of evaluating image information includes: (a) a step of converting an optical image of an object to be photographed into electrical image information; (b) a step of evaluating the image information that has not yet been stored in a non-volatile memory, wherein the image information is evaluated in a state in which a shutter operating section, on which a predetermined operation is performed when storing the image information in the non-volatile memory, is not being subjected to the predetermined operation; and (c) a step of outputting an evaluation result.
摘要:
An evaluating method of image information acquires image information, performs camera shake evaluation of the image information by determining a camera shake direction on the basis of the image information, and performs out-of-focus evaluation of the image information by using information concerning a camera shake direction determined in the camera shake evaluation.
摘要:
In the present invention, an image evaluation method includes: (a) a step of acquiring image information to be evaluated; (b) a step of setting an evaluation area for the acquired image information, the evaluation area being smaller than an area corresponding to the image information; (c) a step of obtaining an individual evaluation on the acquired image information; (d) a step of obtaining another individual evaluation on the acquired image information; and (e) a step of obtaining a comprehensive evaluation based on the individual evaluation and the other individual evaluation. Herein, the individual evaluation is obtained by individually evaluating a predetermined item in the set evaluation area. The other individual evaluation is obtained by individually evaluating another predetermined item.
摘要:
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.
摘要:
The present method of evaluating image information, includes: extracting, from image information to be evaluated, a plurality of edge pixels located in a boundary of an image expressed by the image information; calculating, for each of the edge pixels, a number of pixels that include the edge pixel targeted for calculation, that exist in the boundary, and that are arranged in a direction intersecting with the boundary; and performing out-of-focus blurring evaluation of the image information on the basis of the number of pixels that exist in the boundary and a number of the edge pixels.