Abstract:
This invention provides a technique of preventing determination of image alteration when digital image data has undergone, e.g., rotation without any substantial change in contents. To do this, an area separation processing unit separates image data into areas. For each of the separated areas, an area feature value calculator calculates an area feature value independent of the coordinate information of the image. An area order sorter sorts the separated areas in accordance with the calculated area feature values. A validation data generation processing unit generates validation data based on the sort result.
Abstract:
A method for producing an assured image acquires image data and segments the image data into one or more spatial regions. One or more quality measures is calculated from the image data that is within the one or more spatial regions. Secure assurance data is produced that is representative of the one or more quality measures and the image data. The secure assurance data is associated with the image data to produce the assured image.
Abstract:
A digital data false alteration detection program causes a computer to execute (a) a step (S1) of dividing digital data into a plurality of smaller block data, (b) a step (S2) of extracting noise inherent to a digital data acquisition device for each of the small block data, (c) a step (S3) of calculating correlation of the noise between adjacent small block data, and (d) a step (S4) of detecting small block data having noise correlation lower than a level predetermined for the surrounding small block data, as falsely altered data.
Abstract:
A method and apparatus are provided for analyzing, identifying, and comparing images. The method can be used with any visually-displayed medium that is represented in any type of color space. An identified image can be authenticated, registered, marked, compared to another image, or recognized using the method and apparatus according to the present invention. At least one characteristic of an image's color space is selected and determined to generate a unique description of the image. This identification information is then used to compare different identified images to determine if they are identical according to a set of predetermined criteria. The predetermined criteria can be adjusted to permit the identification of images that are identical in part. In the preferred embodiment of the present invention, a software search application, such as a search engine or a spider, is used to locate and retrieve an image to be identified from an electronic network. A notification alarm is triggered when a duplicate image is located. In one embodiment, the present invention is implemented using a computer. One or more software applications, software modules, firmware, and hardware, or any combination thereof, are used to determine the identification information for the selected image characteristics, search for images, provide notification of identical images, and to generate a database of identified images.
Abstract:
PROBLEM TO BE SOLVED: To improve a detection rate in alteration detection of image data.SOLUTION: A CFA pattern acquisition unit 202 and a DMA acquisition unit 203 acquire pattern information on a color filter array that is used for photographing input image data, and algorithm information on color interpolation processing. A comparison image creation unit 204 creates comparison image data from the input image data by using the pattern information and the algorithm information. An alteration detection unit 205 compares the comparison image data with the input image data to detect alteration of the input image data.