Abstract: A method and apparatus for enhancing a digital photographic image uses a combination of global and content-specific operations. Image data is analyzed to detect one or more content items in the image to be separately enhanced. Then a content-specific enhancement operation is performed on data representing at least one detected content item, separately from the remainder of the image data. Several such content-specific operations may be performed for different types of content item. The content-specific enhancement operation comprises manipulating data, and the manipulation applies different adjustments to different pixels in the detected content item and the determination of the adjustments is based solely on analysis of the image data. Then a different enhancement operation is performed on at least the remaining image data excluding said one or more detected content items.

Abstract: A method and apparatus for enhancing a digital photographic image uses a combination of global and content-specific operations. Image data is analyzed to detect one or more content items in the image to be separately enhanced. Then a content-specific enhancement operation is performed on data representing at least one detected content item, separately from the remainder of the image data. Several such content-specific operations may be performed for different types of content item. The content-specific enhancement operation comprises manipulating data, and the manipulation applies different adjustments to different pixels in the detected content item and the determination of the adjustments is based solely on analysis of the image data. Then a different enhancement operation is performed on at least the remaining image data excluding said one or more detected content items.

Abstract: A method of determining whether two patterns having a plurality of homologous regions match, comprising: generating a set of decisions associated with values (k,n) for determining whether the patterns match, where k, is a number of non similar homologous regions from a sample of size, n, of the homologous regions; constraining the decisions so that a probability of providing a false negative decision that there is no match when in fact there is a match is less than or equal to a predetermined upper bound; configuring the association of decisions and pairs (k,n) to minimize running time of a computer programmed to use the set of decisions to determine whether there is a match; and using a computer programmed with the set of decisions to determine if the patterns match.

Abstract: A method of determining whether two patterns having a plurality of homologous regions match, comprising: generating a set of decisions associated with values (k,n) for determining whether the patterns match, where k, is a number of non similar homologous regions from a sample of size, n, of the homologous regions; constraining the decisions so that a probability of providing a false negative decision that there is no match when in fact there is a match is less than or equal to a predetermined upper bound; configuring the association of decisions and pairs (k,n) to minimize running time of a computer programmed to use the set of decisions to determine whether there is a match; and using a computer programmed with the set of decisions to determine if the patterns match.

Abstract: A gradient domain compression system generates, from an input image having a high luminance dynamic range, an output image having a lower luminance dynamic range. The system comprises a gradient image generator module, a gradient compression module, and an output image generator module. The gradient image generator module is configured to generate, from the input image, a gradient image representing, for respective points of the input image, gradient values in the luminance of the input image. The gradient compression module is configured to receive the gradient image and generate a compressed range gradient image in which the range of gradient values are compressed. The output image generator module is configured to receive the compressed range gradient image and to generate therefrom an image, the image generated by the output image generator module comprising the output image.

Abstract: A gradient domain compression system generates, from an input image having a high luminance dynamic range, an output image having a lower luminance dynamic range. The system comprises a gradient image generator module, a gradient compression module, and an output image generator module. The gradient image generator module is configured to generate, from the input image, a gradient image representing, for respective points of the input image, gradient values in the luminance of the input image. The gradient compression module is configured to receive the gradient image and generate a compressed range gradient image in which the range of gradient values are compressed. The output image generator module is configured to receive the compressed range gradient image and to generate therefrom an image, the image generated by the output image generator module comprising the output image.