Abstract:
A method of detecting tampering in a compressed digital image includes extracting one or more neighboring joint density features from a digital image under scrutiny and extracting one or more neighboring joint density features from an original digital image. The digital image under scrutiny and the original digital image are decompressed into a spatial domain. Tampering in the digital image under scrutiny is detected based on at least one difference in a neighboring joint density feature of the digital image under scrutiny and a neighboring joint density feature of the original image. In some embodiments, detecting tampering in the digital image under scrutiny includes detecting down-recompression of at least a portion of the digital image. In some embodiments, detecting tampering in the digital image includes detecting inpainting forgery in the same quantization.
Abstract:
A counterfeit identification performance attribute (SIPA) sensitivity to changes in resolution of the image for features of an image is determined. The CIPA sensitivity for the features is used to choose at least one feature to determine whether the image on a sample is a counterfeit.
Abstract:
An area where development processing is irregular in imaging data are detected as an irregularity area. At least two areas having approximate feature amounts in the imaging data are detected as approximate areas. An altered region in the imaging data is specified from the approximate areas based on the irregularity area and the approximate areas.
Abstract:
Pattern information of a color filter array and algorithm information of color interpolation processing used in photography of input image data are obtained. Comparative image data is generated from the input image data using the pattern information and algorithm information. The comparative image data and input image data are compared to detect alteration of the input image data.
Abstract:
This image feature extraction device extracts, from an image, an image feature that makes it possible to adjust the balance between identification capability and robustness, which are the scales of the capability of determining identity of images. This image feature extraction device executes hierarchical quantization to calculate quantization indexes of a plurality of hierarchies in accordance with a previously defined hierarchical quantization method for each quantization target region of an image, and outputs a hierarchical quantization index code, which is an encoding allowing unique specification of the quantization indexes of the respective hierarchies of each quantization target region.
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:
In accordance with an embodiment, a method of authenticating images includes electronically receiving an anchor image and a query image, performing a feature point extraction of an anchor image, and performing a feature point extraction of a query image. The method also includes clustering feature points of the anchor image and feature points of the query image, where clustering includes determining matching feature points, determining outlier feature points, and excluding outlier feature points. Whether the anchor image is similar to the query image is determined based on a distance between the feature points of the anchor image and the feature points of the query image. If the anchor image is similar to the query image, possible tampered areas of the query image based on the outlier feature points are identified.
Abstract:
An image processing apparatus includes: an image dividing unit; a corresponding divided image extract unit; a difference extract unit; a first change unit; a second change unit; and an image output unit.
Abstract:
An information processing apparatus inputs image data and calculates a relative magnitude between coefficient or pixel values of the input image data. The image processing apparatus generates verification data of the image data using the calculated relative magnitude.
Abstract:
The present disclosure is generally directed to a method and computing device for determining whether a mark is genuine. According to various embodiments, a computing device (or logic circuitry thereof) uses unintentionally-produced artifacts within a genuine mark to define an identifiable electronic signature, and extracts certain location identifiers corresponding to certain measured features of the signature in order to enhance the ease and speed with which numerous genuine signatures can be searched and compared with signatures of candidate marks.