Abstract: An image processing device includes: an acquisition unit that acquires a probability distribution of luminance of a pixel in a plurality of perspective images including the luminance of the pixel which is superposition of luminance components resulting from respective objects, based on an occurrence frequency of a perspective image in which the luminance of the pixel has respective values of a plurality of values; a distribution estimation unit that estimates a mixture distribution indicating the acquired probability distribution; a component estimation unit that estimates a component corresponding to a smallest expectation value distribution of which an expectation value is the smallest among a plurality of partial distributions that form the estimated mixture distribution, and forming at least a portion of the luminance of the pixel; a removal unit that removes the estimated component from the luminance of the pixel included in the perspective image.

Abstract: An image processing device includes: an acquisition unit that acquires a probability distribution of luminance of a pixel in a plurality of perspective images including the luminance of the pixel which is superposition of luminance components resulting from respective objects, based on an occurrence frequency of a perspective image in which the luminance of the pixel has respective values of a plurality of values; a distribution estimation unit that estimates a mixture distribution indicating the acquired probability distribution; a component estimation unit that estimates a component corresponding to a smallest expectation value distribution of which an expectation value is the smallest among a plurality of partial distributions that form the estimated mixture distribution, and forming at least a portion of the luminance of the pixel; a removal unit that removes the estimated component from the luminance of the pixel included in the perspective image.

Abstract: A signal-processing device, which processes transparent images each expressed by transparent superimposition of a target such as an affected part and a background, includes a transparent image acquiring unit that acquires the transparent images each including the target at a plurality of times; a calculating unit that calculates a component of the transparent image originating from the target and a component of the transparent image originating from the background at a given time t among the plurality of times in association with estimated values of at least one of a distribution originating from the target and a distribution originating from the background and that evaluates consistency with the transparent images; and an updating unit that updates the estimated values of at least one of a distribution originating from the target and a distribution originating from the background at the time t based on the evaluation result.