Abstract: A data processing device includes an average correction processor that corrects input data based on an average value of the input data and outputs average correction data, and reversibly encodes and decodes the average value to generate a decoded average value, an irreversible encoder/decoder that encodes and decodes the average correction data and outputs first and second decoded data, a binary predictor that predicts a magnitude of a restoration error included in the second decoded data based on the first decoded data and the decoded average value and outputs a prediction result as binary data, an error estimator that outputs an estimation error based on the first decoded data, the second decoded data, and the decoded average value, and an operation circuit that outputs output data based on the second decoded data, the binary data, the estimation error, and the decoded average value.

Abstract: A fingerprint authentication method and device, display device, and biometric security apparatus include: a fingerprint sensor; a minutiae extraction circuit connected to the fingerprint sensor; a minutiae storage circuit connected to the minutiae extraction circuit; and a minutiae match circuit connected to the minutiae extraction circuit and the minutiae storage circuit, wherein the minutiae match circuit includes a class-wise comparator having a first input connected to the minutiae extraction circuit for receiving sensed fingerprint minutiae from each class of a plurality of classes, a second input connected to the minutiae storage circuit for receiving stored fingerprint minutiae belonging to each same class of the plurality of classes, respectively, and an output providing a fingerprint authentication signal responsive to the class-wise comparator.

Abstract: A fingerprint authentication method and device, display device, and biometric security apparatus include: a fingerprint sensor; a minutiae extraction circuit connected to the fingerprint sensor; a minutiae storage circuit connected to the minutiae extraction circuit; and a minutiae match circuit connected to the minutiae extraction circuit and the minutiae storage circuit, wherein the minutiae match circuit includes a class-wise comparator having a first input connected to the minutiae extraction circuit for receiving sensed fingerprint minutiae from each class of a plurality of classes, a second input connected to the minutiae storage circuit for receiving stored fingerprint minutiae belonging to each same class of the plurality of classes, respectively, and an output providing a fingerprint authentication signal responsive to the class-wise comparator.

Abstract: An image processor including a color converter converting a first color space of image signals to a second color space having first brightness data, first chrominance data, and second chrominance data, a brightness converter increasing a value of low brightness portion of the first brightness data, to generate second brightness data, a color variation limit unit adjusting the second brightness data with respect to the first chrominance data and the second chrominance data such that an image data converted depending on the second brightness data lie within the first color space, a blend coefficient calculator calculating a blend coefficient depending on an illuminance value, a synthesizer synthesizing the first brightness data with the third brightness data depending on a blend coefficient to generate fourth brightness data, and a signal output unit converting the fourth brightness data, the first chrominance data, and the second chrominance data to output image signals.

Abstract: An image processing device includes a light detection unit and an image conversion unit. The light detection unit is configured to detect a first grayscale value of a background image. The background image is an image seen by a user through an at least partially transparent display panel. The image conversion unit is configured to generate a correction image having a second grayscale value obtained by subtracting a third grayscale value pertaining to the first grayscale value from a fourth grayscale value of an input image inputted to the at least partially transparent display panel. The input image is an image intended to be displayed on the at least partially transparent display panel.

Abstract: An image processing device includes a contrast adjusting unit that calculates an illumination light based on a brightness value of an input image signal, adjusts brightness of the illumination light, and generates a new brightness value, a color emphasis unit that calculates an illumination light based on a color value of the input image signal, adjusts brightness of the illumination light, and generates a new color value, and an output image signal generating unit that generates an output image signal for displaying an image on a transparent display device from the new brightness value and new color value.

Abstract: An image processing device includes a light detection unit and an image conversion unit. The light detection unit is configured to detect a first grayscale value of a background image. The background image is an image seen by a user through an at least partially transparent display panel. The image conversion unit is configured to generate a correction image having a second grayscale value obtained by subtracting a third grayscale value pertaining to the first grayscale value from a fourth grayscale value of an input image inputted to the at least partially transparent display panel. The input image is an image intended to be displayed on the at least partially transparent display panel.

Abstract: An image processor includes a input converter converting an input image into linear first image data of a first color gamut; a color gamut converter converting first image data into second image data expressing a second color gamut narrower than the first color gamut; a blend coefficient selector selecting a first blend coefficient when hue and saturation belong to a first color domain range, a second blend coefficient, having a reduced synthesis ratio of second image data compared with the first blend coefficient, when hue and saturation belong to a second color domain range, and a third blend coefficient, between the first and second blend coefficients, when hue and saturation belong to a color domain between the first color domain range and the second color domain range; and a color synthesis unit synthesizing first image data and second image data according to the decided blend coefficient.

Abstract: An image processor includes a input converter converting an input image into linear first image data of a first color gamut; a color gamut converter converting first image data into second image data expressing a second color gamut narrower than the first color gamut; a blend coefficient selector selecting a first blend coefficient when hue and saturation belong to a first color domain range, a second blend coefficient, having a reduced synthesis ratio of second image data compared with the first blend coefficient, when hue and saturation belong to a second color domain range, and a third blend coefficient, between the first and second blend coefficients, when hue and saturation belong to a color domain between the first color domain range and the second color domain range; and a color synthesis unit synthesizing first image data and second image data according to the decided blend coefficient.

Abstract: Provided are an apparatus, a method, and a program for processing an image which reduces crosstalk and achieves high image quality. The method includes obtaining a differential signal by subtracting one input image signal of an object to be processed from another input image signal; applying a predetermined correction coefficient to the differential signal; determining, for each pixel, whether the differential signal is a negative value; selectively outputting, for each pixel, the differential signal, to which the predetermined correction coefficient is applied, as a correction signal based on a result of the determining; and correcting, for each pixel, the one input image signal based on the one input image signal and the correction signal that is selectively output if the differential signal is the negative value.

Abstract: Provided are an apparatus, a method, and a program for processing an image which reduces crosstalk and achieves high image quality. The method includes obtaining a differential signal by subtracting one input image signal of an object to be processed from another input image signal; applying a predetermined correction coefficient to the differential signal; determining, for each pixel, whether the differential signal is a negative value; selectively outputting, for each pixel, the differential signal, to which the predetermined correction coefficient is applied, as a correction signal based on a result of the determining; and correcting, for each pixel, the one input image signal based on the one input image signal and the correction signal that is selectively output if the differential signal is the negative value.

Abstract: There are provided hue detecting means for detecting a hue component for each pixel from a first color difference signal R?Y and a second color difference signal B?Y, and gain controlling means for controlling for each pixel a gain for arbitrarily selected one of or an arbitrary combination of a luminance signal, a first color difference signal R?Y, and a second color difference signal B?Y depending on the detected hue component for each pixel.

Abstract: Disclosed is an interpolation pixel value determining method for dividing a unit region including the contour of an object into reference unit sections for each line along a predetermined direction, to find, using a region interposed between the two reference unit sections as an interpolation unit section, an interpolation pixel value in the interpolation unit section, in which a luminance total and a center of gravity are calculated in each of the two reference unit sections with the interpolation unit section interposed therebetween, the estimated values of a luminance total and a center of gravity in the interpolation unit section are found from the luminance totals and the centers of gravity in the two reference unit sections, and each of interpolation pixel values in the interpolation unit section is determined such that the luminance total and the center of gravity in the interpolation unit section are respectively values close to the estimated values.

Abstract: An image interpolating method for interpolating a pixel at an intermediate position between a first original pixel and a second original pixel adjacent to the first original pixel, comprising a first step of calculating an edge component for judging whether or not an interpolated pixel is positioned in the vicinity of an edge position of original image data, a second step of determining a range where pixel data on the interpolated pixel is settable on the basis of the calculated edge component and pixel data on the first and second original pixels, and a third step of selecting a plurality of sets of opposed pixels between which the interpolated pixel is sandwiched diagonally, and determining, for each of the sets, the pixel data on the interpolated pixel in a case where a correlation value represented by the sum of the absolute values of the differences between the pixel data on the interpolated pixel and pixel data on the opposed pixels is the minimum in the range where the pixel data on the interpolated pi

Abstract: Disclosed is an interpolation pixel value determining method for dividing a unit region including the contour of an object into reference unit sections for each line along a predetermined direction, to find, using a region interposed between the two reference unit sections as an interpolation unit section, an interpolation pixel value in the interpolation unit section, in which a luminance total and a center of gravity are calculated in each of the two reference unit sections with the interpolation unit section interposed therebetween, the estimated values of a luminance total and a center of gravity in the interpolation unit section are found from the luminance totals and the centers of gravity in the two reference unit sections, and each of interpolation pixel values in the interpolation unit section is determined such that the luminance total and the center of gravity in the interpolation unit section are respectively values close to the estimated values.

Abstract: In an image signal processing device, a subtractor circuit 4 and an absolute value calculating circuit 6 calculate the absolute value of the difference between the image signal of the previous frame fed from a frame memory 1 and the image signal of the current frame, and a subtractor circuit 5 and an absolute value calculating circuit 7 calculate the absolute value of the difference between the image signal of the previous-previous frame fed from a frame memory 2 and the image signal of the previous frame. An adder circuit 8 adds together the thus calculated absolute values of the differences between those image signals to calculate the degree of motion, on the basis of which a gain setting circuit 9 sets a gain. The output from the subtractor circuit 4 is multiplied by this gain to generate a noise component.