Abstract: A method of automatic human identification includes matching an image of a subject'so ear against a database of images of ears from identified people to identify the subject.

Abstract: Systematic use of infrared imaging characterizes marks made on items and identifies the particular marking tool with better accuracy than use of visual imaging. Infrared imaging performed in total darkness eliminates shadows, glint, and other lighting variations and artifacts associated with visible imaging. Although normally used to obtain temperature measurements, details in IR imagery result from emissivity variations as well as thermal variations. Disturbing an item's surface texture creates an emissivity difference producing local changes in the infrared image. Identification is most accurate when IR images of unknown marks are compared to IR images of marks made by known tools. However, infrared analysis offers improvements even when only visual reference images are available.

Abstract: When a projection plane is not uniform due to colors and patterns on the projection plane and ambient environmental light, a reproduced image projected by a projector is made to appear in desired colors. A color correcting apparatus is used, comprising association unit (21), association storage memory 22, color information acquisition unit (23), color conversion calculation unit (23), color conversion storage memory (25), and color correction unit (26). Association unit (21) acquires captured image (7) generated by capturing image (5) projected onto projection plane (2) to establish an association between pixels of image (5) and pixels of captured image (7). Association storage memory (22) records the association. Color information acquisition unit (23) acquires second color information as color information for each pixel of the captured image.

Abstract: A method for processing thermography signals. A time series of radiometric data is measured from a surface (104) of an object (102) over a period of heating and subsequent cooling, and a mathematical curve (1, 2) is fit to the data. An amplitude aspect and one or more shape aspects are identified for each curve. The amplitude and shape aspects are then used together to characterize features such as defects in the object. The amplitude and shape aspects for an array of such data may be combined in a single noise-free visual display (100) by associating hue (color) with the shape aspect and luminance (brightness) with the amplitude aspect. Optionally, a second shape aspect may be identified and associated with saturation on the display. A visible image of the object may be overlaid on the display.

Abstract: A false-color suppression method for correcting a pixel value of a target position of an output frame corresponding to a target field is disclosed. The false-color suppression method includes determining whether the target position has motion; determining whether image corresponding to the target position meets a predetermined condition; and if the target position is determined to have motion and the image corresponding to the target position meets the predetermined condition, performing at least one false-color suppression operation to correct the pixel value of the target position of the output frame.

Abstract: Systems and methods for high-throughput radiation biodosimetry are disclosed herein.

Abstract: An image decoder including: a demultiplexer extracting motion vector information, quantized DCT coefficients, and rounding method information; a dequantizer dequantizing the quantized DCT coefficients to obtain DCT coefficients; an inverse DCT converter performing inverse DCT conversion on the DCT coefficients to obtain an error image; a prediction image synthesizer synthesizing a prediction image by performing motion compensation using the motion vector information, the rounding method information, and a reference previously decoded image; and an adder adding the prediction image to the error image to obtain a decoded image. Motion compensation is performed with half-pixel accuracy and bilinear interpolation to calculate intensity values of chrominance or luminance at points where no pixels actually exist in the reference image, using positive and negative rounding methods.

Abstract: A computer-readable medium having stored thereon an image decoding program which, when executed by a computer, performs image decoding, wherein the synthesizing a prediction image is performable using a positive rounding method and a negative rounding method for interpolating intensity values of pixels; wherein the interpolation of intensity values of pixels is performed using a rounding method specified by the rounding method information; wherein the rounding method information is included in coded information of the currently decoded image; wherein the rounding method information is included in a header section of the coded information of the currently decoded image; wherein the rounding method information specifies one of two values; wherein one of the two values specifies a positive rounding method, and another one of the two values specifies a negative rounding method; and wherein the rounding method information consists of one bit.

Abstract: A computer-readable medium having stored thereon an image decoding program which, when executed by a computer, performs image decoding, wherein the synthesizing a prediction image is performable using a positive rounding method and a negative rounding method for interpolating intensity values of pixels; wherein the interpolation of intensity values of pixels is performed using a rounding method specified by the rounding method information; wherein the rounding method information is included in coded information of the currently decoded image; wherein the rounding method information is included in a header section of the coded information of the currently decoded image; wherein the rounding method information specifies one of two values; and wherein one of the two values specifies a positive rounding method, and another one of the two values specifies a negative rounding method.

Abstract: A computer-readable medium having stored thereon an image decoding program which, when executed by a computer, performs: storing a reference image which is a previously decoded image; receiving coded information including motion vector information and rounding method information specifying a rounding method used in synthesizing a prediction image of a currently decoded image; and synthesizing the prediction image by performing motion compensation using the motion vector information and the reference image; wherein the synthesizing a prediction image is performable using positive and negative rounding methods for interpolating intensity values of pixels; wherein the interpolation of intensity values of pixels is performed using a rounding method specified by the rounding method information; wherein the rounding method information is included in coded information of the currently decoded image; and wherein the rounding method information is included in a header section of the coded information of the currently

Abstract: An image decoder including: a demultiplexer extracting motion vector information, quantized DCT coefficients, and rounding method information; a dequantizer dequantizing to DCT coefficients; an inverse DCT converter converting to DCT coefficients to obtain an error image; a synthesizer synthesizing a prediction image of a currently decoded image by performing motion compensation using the motion vector information, the rounding method information, and a reference image which is a previously decoded image; and an adder adding the prediction image to the error image to obtain a decoded image; wherein the motion compensation is performed with half-pixel accuracy and uses bilinear interpolation to calculate intensity values of chrominance or luminance at points where no pixels actually exist in the reference image, the bilinear interpolation being performable using positive and negative rounding methods and is performed using a rounding method specified by the rounding method information specifying one of a plura

Abstract: The methods and apparatuses detect a color of each of a plurality of pixels within a frame; group a portion of the plurality of pixels having a common color into a block; and generate a color list including the common color based on a threshold value corresponding to the block.

Abstract: A computer-readable medium having stored thereon an image decoding program which, when executed by a computer, performs: storing a reference image which is a previously decoded image; receiving coded information including motion vector information and rounding method information specifying a rounding method used in synthesizing a prediction image of a currently decoded image; and synthesizing the prediction image by performing motion compensation using the motion vector information and the reference image; wherein the step of synthesizing a prediction image is performable using a positive rounding method and a negative rounding method for interpolating intensity values of pixels; wherein the interpolation of intensity values of pixels is performed using a rounding method specified by the rounding method information; and wherein the rounding method information is included in coded information of the currently decoded image.

Abstract: A computer-readable medium having stored thereon an image decoding program which, when executed by a computer, performs: storing a reference image which is a previously decoded image; receiving coded information including motion vector and rounding method information specifying a rounding method used in synthesizing a prediction image; and synthesizing the prediction image by performing motion compensation using the motion vector information and the reference image; wherein the synthesizing a prediction image is performable using positive and negative rounding methods for interpolating intensity values of pixels; wherein the interpolation of intensity values of pixels is performed using a rounding method specified by the rounding method information included in coded information of the currently decoded image; wherein the rounding method information is included in a header section of the coded information of the currently decoded image; and wherein the rounding method information specifies one of a plurality o

Abstract: An image decoder, wherein the motion compensation is performed with half-pixel accuracy and uses bilinear interpolation to calculate intensity values of chrominance or luminance at points where no pixels actually exist in the reference image, the bilinear interpolation being performable using a positive rounding method and a negative rounding method; wherein the bilinear interpolation is performed using a rounding method specified by the rounding method information; wherein the rounding method information is included in coded information of the currently decoded image; and wherein the rounding method information is included in a header section of the coded information of the currently decoded image.

Abstract: An image decoder, wherein the motion compensation is performed with half-pixel accuracy and uses bilinear interpolation to calculate intensity values of chrominance or luminance at points where no pixels actually exist in the reference image, the bilinear interpolation being performable using a positive rounding method and a negative rounding method; wherein the bilinear interpolation is performed using a rounding method specified by the rounding method information; wherein the rounding method information is included in coded information of the currently decoded image; wherein the rounding method information is included in a header section of the coded information of the currently decoded image; and wherein the rounding method information specifies one of a plurality of values.

Abstract: An image decoder, wherein motion compensation is performed with half-pixel accuracy and uses bilinear interpolation to calculate intensity values of chrominance or luminance at points where no pixels actually exist in the reference image, the bilinear interpolation being performable using a positive rounding method and a negative rounding method; wherein the bilinear interpolation is performed using a rounding method specified by the rounding method information; wherein the rounding method information is included in coded information of the currently decoded image; wherein the rounding method information is included in a header section of the coded information of the currently decoded image; wherein the rounding method information specifies one of two values; wherein one of the two values specifies a positive rounding method, and another one of the two values specifies a negative rounding method; and wherein the rounding method information consists of one bit.

Abstract: An image decoder wherein motion compensation is performed with half-pixel accuracy and uses bilinear interpolation to calculate intensity values of chrominance or luminance at points where no pixels actually exist in the reference image, the bilinear interpolation being performable using a positive rounding method and a negative rounding method; wherein the bilinear interpolation is performed using a rounding method specified by the rounding method information; wherein the rounding method information is included in coded information of the currently decoded image; wherein the rounding method information specifies one of two values; and wherein one of the two values specifies a positive rounding method, and another one of the two values specifies a negative rounding method.

Abstract: An image decoder, wherein motion compensation is performed with half-pixel accuracy and uses bilinear interpolation to calculate intensity values of chrominance or luminance at points where no pixels actually exist in the reference image, the bilinear interpolation being performable using a positive rounding method and a negative rounding method; wherein the bilinear interpolation is performed using a rounding method specified by the rounding method information; wherein the rounding method information is included in coded information of the currently decoded image; wherein the rounding method information is included in a header section of the coded information of the currently decoded image; wherein the rounding method information specifies one of two values; and wherein one of the two values specifies a positive rounding method, and another one of the two values specifies a negative rounding method.

Abstract: A computer-readable medium having stored thereon an image decoding program which, when executed by a computer, performs: storing a reference image which is a previously decoded image; receiving coded information including motion vector information and rounding method information specifying a rounding method used in synthesizing a prediction image; and synthesizing the prediction image by performing motion compensation using the motion vector information and the reference image; wherein the synthesizing a prediction image is performable using positive and negative rounding methods for interpolating intensity values of pixels; wherein the interpolation of intensity values of pixels uses a rounding method specified by the rounding method information; wherein the rounding method information is included in coded information of the currently decoded image; wherein the rounding method information specifies one of two values specifying a positive rounding method and a negative rounding method, respectively.