Abstract: An information processing device includes: a user information acquisition unit which acquires first information, second information, and third information about a user; a correlation information acquisition unit which acquires correlation information representing a relation between the first information, the second information, and the third information; an initial value setting unit which sets an initial value of the first information, the second information, and the third information; a fixing designation unit which designate fixing of the first information; a change designation unit which designates change of the second information; and an update unit which updates the third information on the basis of the correlation information.

Abstract: 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.

Abstract: 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.

Abstract: An image search method for searching image data includes the steps of searching identifying information for identifying the image data by using search information, informing the image data including the identifying information in correspondence with the search information, and causing a user to select image data to be executed a predetermined processing from the informed image data.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: To provide a composition capable of minimizing the average surface roughness (Ra) after texturing of the ground layer of an aluminum magnetic disc or the surface of a glass magnetic disc, forming fine texturing streaks, removing “polishing marks” or “polishing scratches” ascribable to the substrate polishing step and which are present on the ground layer or on the surface, and ensuring a high processing rate. A composition for a texturing process, which is used for texturing a ground layer of an aluminum magnetic disc or a surface of a glass magnetic disc, the composition comprising (A) nano-diamond particles having a specific surface area of 150 m2/g or more, (B) a fatty acid having from 10 to 22 carbon atoms or a fatty acid salt, and (C) an organic amine compound.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The technique of the invention calculates an edge gradient magnitude a(x,y) at each pixel position (x,y) and an edge width w(x,y) from luminance values of an object image, and computes an out-of-focus evaluation value M(x,y) at each pixel position (x,y) from the calculated edge gradient magnitude a(x,y) and edge width w(x,y). The technique then divides the object image into a preset number of blocks, determines a representative out-of-focus evaluation value Y(m,n) in each block, and compares the representative out-of-focus evaluation value Y(m,n) with a preset threshold value for block classification to categorize each block as an in-focus block or an out-of-focus block. The technique eventually determines the object image as in-focus or out-of-focus, based on the total number of blocks included in in-focus block areas, the total number of blocks included in out-of-focus block areas, and the relative positions of the in-focus block areas and the out-of-focus block areas to the whole image.

Abstract: 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.

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.

Abstract: An image search method for searching image data includes the steps of searching identifying information for identifying the image data by using search information, informing the image data including the identifying information in correspondence with the search information, and causing a user to select image data to be executed a predetermined processing from the informed image data.

Abstract: A composition for use in texturing includes (i) microparticles or powder formed of at least one species selected from the group consisting of diamond, CBN, alumina and silicon carbide; (ii) at least one species selected from the group consisting of C2-C5 polyhydric alcohols, polycondensed products of the alcohols and alkylene glycol monoalkyl ethers represented by formula R1O(CnH2nO)mH (wherein R1 represents a C1-C4 linear or branched alkyl group, m is an integer of 1 to 3 and n is 2 or 3); and (iii) a C10-C22 fatty acid. When polishing a substrate using the composition, it is possible to form minute texturing lines, remove “polish lines” and “polish scratches” and minimize the mean surface roughness (Ra) of the undercoat layer of the substrate after texturing.