Abstract:
According to the present invention, in a specified image position estimating apparatus, for, even if an original image varies in size to vary a size of a mark, detecting the mark in the original image fast and accurately to securely estimate the position of a specified image included in the original image, there are provided a position detection point detecting unit for, in a state where three or more position detection marks, each of which is made such that two or more straight lines intersect with each other or come into contact with each other at one position detection point, are affixed to the original image, detecting the position detection point of each of the position detection marks on the original image and a specified image position estimating unit for estimating the position of the specified image in the original image on the basis of the position detection point.
Abstract:
To reduce the processing required to embed a code into image data and decode the code. The present invention includes a block dividing section 101 that divides original image data 10 into a plurality of blocks (M×N); an averaging section 103 that extracts each average density (characteristic amount) in a plurality of blocks; and an encoding section 106 that embeds a code C (a plurality of bits) into a plurality of blocks by relating one code (one bit out of the code C) to each pair of blocks mutually located in near position in the plurality of blocks based on a magnitude relation of the average density.
Abstract:
An image processing method of arranging orientation detection information for detecting an image orientation in an image includes arranging the orientation detection information in at least two positions that are symmetric with respect to a center of the image.
Abstract:
A parallel computer system includes a first, a second, and a third apparatuses. The first apparatus includes a first arithmetic processing unit that stores first information regarding execution of a first program stored in a first area of a first storage device in a second area of the first storage device, outputs the first information, and sends a first notification of output of the first information. The second apparatus includes a second arithmetic processing unit that stores second information regarding execution of a second program stored in a third area of a second storage device in a fourth area of the second storage device, receives the first notification from the first apparatus, and outputs the second information. The third apparatus includes a third arithmetic processing unit that stores the first information and the second information in a third storage device.
Abstract:
In an information embedding apparatus, an image selecting unit selects original image data from an original image data group, a decoder detects a code from the selected original image data, and a candidate code determining unit calculates a candidate code. A candidate code embedding unit embeds the candidate code in the selected original image data.
Abstract:
An apparatus detects an area specified based on a mark of a specific color out of three primary colors in pigment or three primary colors in light from an image. An other-color-information eliminating unit eliminates information of other colors from a tone level of the specific color by correcting the tone level of the specific color based on tone levels of two colors other than the specific color out of the three primary colors in pigment or the three primary colors in light. An area detecting unit detects the area by specifying the mark based on the tone level from which the information of other colors is eliminated.
Abstract:
An image processing method of arranging orientation detection information for detecting an image orientation in an image includes arranging the orientation detection information in at least two positions that are symmetric with respect to a center of the image.
Abstract:
The invention provides an image processing apparatus which can correct distortion of read image data using only the image data without using a two-dimensional sensor. The image processing apparatus includes an estimation section for estimating a displacement amount between part data which form image data based on a cross-correlation between the part data, and a correction section for correcting the image data so as to cancel a displacement in the image data based on the displacement amount estimated by the estimation section. The image processing apparatus is used to correct distortion of an image, particularly a document image, inputted from an image inputting apparatus such as, for example, a handheld image scanner.
Abstract:
According to the present invention, in a specified image position estimating apparatus, for, even if an original image varies in size to vary a size of a mark, detecting the mark in the original image fast and accurately to securely estimate the position of a specified image included in the original image, there are provided a position detection point detecting unit for, in a state where three or more position detection marks, each of which is made such that two or more straight lines intersect with each other or come into contact with each other at one position detection point, are affixed to the original image, detecting the position detection point of each of the position detection marks on the original image and a specified image position estimating unit for estimating the position of the specified image in the original image on the basis of the position detection point.
Abstract:
An input image distortion detection unit 11 detects a distortion of each of a plurality of input images (two herein) and corrects the distortion of each image. An overlapping position detection unit 12 detects the overlapping position of the two input images being combined using the images after subjecting to correction for distortion. A mutual distortion and expansion/contraction detection unit 13 detects a mutual distortion or expansion/contraction of the two images being combined in the overlapping position. Based on these detection results, the mutual distortion of the two input images is corrected or the expansion/contraction is interpolated. Finally image superimpose unit 15 combines the two images.