Abstract: A physical property value calculation device includes at least one processor configured to: separate a superimposed peak into an estimated main peak corresponding to a main peak and an estimated sub-peak corresponding to a sub-peak, by applying a predetermined fitting function to each of the main peak and the sub-peak; calculate a main intensity index value indicating an intensity of the estimated main peak and a sub-intensity index value indicating an intensity of the estimated sub-peak; and calculate a physical property value of the polymer material based on the main intensity index value and the sub-intensity index value.

Abstract: An optical characteristics measuring method for measuring optical characteristics of a subject, the optical characteristics measuring method including: a step of acquiring one or more captured images including the subject, using an image capturing apparatus that is located at a predetermined distance from the subject, and is configured to be displaceable relative to the subject, while maintaining the predetermined distance; and a step of creating, based on the one or more captured images thus acquired, a virtual image including the subject and acquired from one or more analysis points each located at a position other than a position on a plane that includes the trajectory of the image capturing apparatus.

Abstract: An optical characteristics measuring method for measuring optical characteristics of a subject, the optical characteristics measuring method including: a step of acquiring one or more captured images including the subject, using an image capturing apparatus that is located at a predetermined distance from the subject, and is configured to be displaceable relative to the subject, while maintaining the predetermined distance; and a step of creating, based on the one or more captured images thus acquired, a virtual image including the subject and acquired from one or more analysis points each located at a position other than a position on a plane that includes the trajectory of the image capturing apparatus.

Abstract: A light distribution characteristic measurement apparatus includes an imaging unit disposed at a predetermined distance from a light source, a movement mechanism that successively changes a positional relation of the imaging unit with respect to the light source, while keeping the distance between the light source and the imaging unit, and a processing module that calculates the light distribution characteristic of the light source. The processing module obtains a plurality of image data taken under a first imaging condition and a plurality of image data taken under a second imaging condition different from the first condition, and determines corrected image information corresponding to a relative position of interest, from first image information corresponding to the relative position of interest included in the image data taken under the first condition and second image information corresponding to the relative position of interest included in the image data taken under the second condition.

Abstract: A light distribution characteristic measurement apparatus includes an imaging unit disposed at a predetermined distance from a light source, a movement mechanism that successively changes a positional relation of the imaging unit with respect to the light source, while keeping the distance between the light source and the imaging unit, and a processing module that calculates the light distribution characteristic of the light source. The processing module obtains a plurality of image data taken under a first imaging condition and a plurality of image data taken under a second imaging condition different from the first condition, and determines corrected image information corresponding to a relative position of interest, from first image information corresponding to the relative position of interest included in the image data taken under the first condition and second image information corresponding to the relative position of interest included in the image data taken under the second condition.

Abstract: A light distribution characteristic measurement apparatus includes: a detecting unit for detecting light from a light source; a mirror for reflecting the light from the light source to direct the light to the detecting unit; a movement mechanism for moving the detecting unit and the mirror relatively to the light source; a rotation mechanism for rotating the mirror while maintaining an optical path length from the light source to the detecting unit; and a processor adapted to calculate the light distribution characteristic of the light source, based on a plurality of measurement results that are detected by the detecting unit under a condition that the detecting unit and the mirror are arranged at a plurality of measurement positions relative to the light source and the mirror is oriented at different rotational angles for each measurement position.

Abstract: A light distribution characteristic measurement apparatus for measuring the light distribution characteristic of a light source is provided. The apparatus includes a plurality of detectors arranged so that they have a predetermined relative relationship with each other. One detector has a detection range at least partially overlapping a detection range of another detector adjacent to the former detector. The apparatus further includes a drive unit that drives a plurality of detectors as one unit to update a positional relationship of the plurality of detectors relative to the light source, and a calculation unit that calculates the light distribution characteristic of the light source by performing a process depending on at least one of a relative relationship between a plurality of detectors and overlapping of respective detection ranges thereof, based on respective results of detection that have been acquired by the plurality of detectors at the same timing.

Abstract: A light distribution characteristic measurement apparatus includes: a detecting unit for detecting light from a light source; a mirror for reflecting the light from the light source to direct the light to the detecting unit; a movement mechanism for moving the detecting unit and the mirror relatively to the light source; a rotation mechanism for rotating the mirror while maintaining an optical path length from the light source to the detecting unit; and a processor adapted to calculate the light distribution characteristic of the light source, based on a plurality of measurement results that are detected by the detecting unit under a condition that the detecting unit and the mirror are arranged at a plurality of measurement positions relative to the light source and the mirror is oriented at different rotational angles for each measurement position.

Abstract: A light distribution characteristic measurement apparatus for measuring the light distribution characteristic of a light source is provided. The apparatus includes a plurality of detectors arranged so that they have a predetermined relative relationship with each other. One detector has a detection range at least partially overlapping a detection range of another detector adjacent to the former detector. The apparatus further includes a drive unit that drives a plurality of detectors as one unit to update a positional relationship of the plurality of detectors relative to the light source, and a calculation unit that calculates the light distribution characteristic of the light source by performing a process depending on at least one of a relative relationship between a plurality of detectors and overlapping of respective detection ranges thereof, based on respective results of detection that have been acquired by the plurality of detectors at the same timing.

Abstract: A picture is scrolled on a display 5 to be measured, and the scrolling moving picture is pursuit-captured by a color camera 3 so as to obtain a pursuit-captured moving picture image. A moving picture response curve using received light intensity data obtained based upon the pursuit-captured moving picture image is converted into a color moving picture response curve using emission intensity of display elements of the display 5 to be measured. The coloration of an edge part of the pursuit-captured moving picture image is decomposed into the respective color components, by which objective quantitative evaluations of color shifting can be made.

Abstract: A test pattern is moved on a screen 5 subject to measurement with the field of view of an image sensor pursuing the motion of the test pattern so as to observe BEW. Subsequently, the field of view 33 of the image sensor is moved at the same velocity vc as in the foregoing observation to capture an image of a static pattern PE, and a blur width W along the scrolling direction that appears in a distribution profile of the captured image is observed. Based upon the blur width W and the exposure time of the image sensor for capturing the image of the static pattern PE, the moving velocity of the test pattern at the time of observation of the BEW is estimated, and by using the moving velocity, the BEW is normalized. Evaluation of the moving image quality of the screen is carried out by using the normalized N BEW. The moving velocity of the original test pattern can thus be estimated easily and accurately, and accordingly, the moving image quality of the screen can be evaluated accurately.

Abstract: A motion picture moving on a display screen 21 of a display device 2 to be evaluated is captured a plurality of times by means of a galvano camera 3a. The captured data include locations of the moving picture in the moving direction on the display device 2 to be evaluated and data on luminance of the display device at the respective time points of the locations. Based on these data, a motion picture eye-tracking simulation is performed, where an integration along the eye tracking direction over an integral multiple of 1 frame time is performed to obtain a motion picture response curve of the display device 2 to be evaluated. Evaluations of motion picture characteristics and motion picture blur can be made based on the motion picture response curve.

Abstract: An image signal corresponding to a moving area of a moving picture is obtained, a color B that has a predetermined relationship with (complementary to) R+G present in color breakup at an edge part of the moving picture corresponding to the obtained image signal is added so as to eliminate the color breakup at the edge part, and then an image signal where the color for eliminating the color breakup at the edge is added is fed to a color display.

Abstract: A picture is scrolled on a display 5 to be measured, and the scrolling moving picture is pursuit-captured by a color camera 3 so as to obtain a pursuit-captured moving picture image. A moving picture response curve using received light intensity data obtained based upon the pursuit-captured moving picture image is converted into a color moving picture response curve using emission intensity of display elements of the display 5 to be measured. The coloration of an edge part of the pursuit-captured moving picture image is decomposed into the respective color components, by which objective quantitative evaluations of color shifting can be made.

Abstract: A test pattern is moved on a screen 5 subject to measurement with the field of view of an image sensor pursuing the motion of the test pattern so as to observe BEW. Subsequently, the field of view 33 of the image sensor is moved at the same velocity vc as in the foregoing observation to capture an image of a static pattern PE, and a blur width W along the scrolling direction that appears in a distribution profile of the captured image is observed. Based upon the blur width W and the exposure time of the image sensor for capturing the image of the static pattern PE, the moving velocity of the test pattern at the time of observation of the BEW is estimated, and by using the moving velocity, the BEW is normalized. Evaluation of the moving image quality of the screen is carried out by using the normalized N BEW. The moving velocity of the original test pattern can thus be estimated easily and accurately, and accordingly, the moving image quality of the screen can be evaluated accurately.

Abstract: A screen motion image quality measuring/evaluating apparatus according to the present invention comprises: a rotatable mirror 2; a camera 3 for capturing a screen through the mirror 2; and a control unit 6. The control unit 6 is arranged to control such that when it is detected based on a change in the luminance of a screen 5 that a test pattern contained in a motion image displayed on the screen 5 has passed a predetermined position of the screen 5, a trigger for rotation is given to the mirror 2, and such that after the start of rotation of the mirror 2, the mirror 2 rotates as keeping pace with the movement of the test pattern. Without electric synchronism of rotation with a motion image signal, a trigger for rotation can be given to the mirror 2. Thus, the quality of a motion image on the screen can be measured with a simple structure.