Abstract:
An image processing method includes capturing a display image of a display panel in-focus with a camera; generating a first image by applying a high-pass filter to the captured image to remove or reduce a spatial frequency component corresponding to moiré that has appeared in the captured image; capturing the display image out-of-focus with the camera; generating a second image by applying a correction filter to the captured image to correct attenuation of the spatial frequency component of the captured image with the correction filter, and applying a low-pass filter to the corrected captured image; and generating a third image in which the moiré has been removed or reduced by compositing the first image and the second image. The sum of the transmittance of the high-pass filter and the transmittance of the low-pass filter is a constant value at any spatial frequency.
Abstract:
An unevenness correction data generation method provided for generating unevenness correction data for effectively improving the yield of a display panel. The method includes: a step of capturing an image of a display panel where a predetermined pattern is displayed; a step of generating iteration data for correcting unevenness of the captured image; a step of storing the iteration data in a storage means; a step of capturing an image of the display panel where a pattern in the storage means is displayed; a step of generating iteration data for correcting unevenness of the captured image; a step of storing iteration data in the storage means; a step of judging whether or not an ending condition for ending repetition of the steps is satisfied; and a step of generating the unevenness correction data based on the iteration data stored in the storage means the ending condition is satisfied.
Abstract:
An image processing method includes capturing a display image of a display panel in-focus with a camera; generating a first image by applying a high-pass filter to the captured image to remove or reduce a spatial frequency component corresponding to moiré that has appeared in the captured image; capturing the display image out-of-focus with the camera; generating a second image by applying a correction filter to the captured image to correct attenuation of the spatial frequency component of the captured image with the correction filter, and applying a low-pass filter to the corrected captured image; and generating a third image in which the moiré has been removed or reduced by compositing the first image and the second image. The sum of the transmittance of the high-pass filter and the transmittance of the low-pass filter is a constant value at any spatial frequency.
Abstract:
Provided are a light-emitting apparatus that can suppress manufacturing cost to a low level and perform light emission with high uniformity using a simple configuration, a calibration coefficient calculation method using the light-emitting apparatus, and a method for calibrating a captured image of an inspection target object. A plurality of light-emitting diodes arranged at equal intervals on the circumference of a virtual circle, and a milky white-colored emission window, which is provided on a top surface portion separated from the light-emitting diodes, has an outer edge that is smaller than the circumference on which the light-emitting diodes are arranged, and allows light of the light-emitting diodes to pass therethrough, are included. The diameter of the virtual circle on which the light-emitting diodes are arranged and a separation distance between the light-emitting diodes and the emission window are set to predetermined distances.
Abstract:
An image quality adjustment apparatus obtains correction data for correcting display unevenness of a display panel by capturing an image of the display panel using a camera, and includes a moire frequency control unit that performs a control to position the display panel and the camera at a predetermined relative angle with respect to each other, an unevenness measurement unit that measures the display unevenness of the display panel based on the image captured by the camera, and a correction data generation unit that generates the correction data based on the unevenness measured by the unevenness measurement unit. Arranging the panel and the camera at the predetermined relative angle shifts a spatial frequency component of a moire pattern occurring in the image captured by the camera out of a region where a spatial frequency component of the display unevenness is present, and removes an influence of the moire pattern.
Abstract:
Provided is a luminance measurement method for accurately measuring luminance of each pixel even if pixel images of a display panel overlap each other on an imaging surface of a camera. A central exposure factor indicating luminance of the central part of the pixel image is calculated on the basis of an output of a picture element corresponding to the central part. A peripheral exposure factor indicating luminance of the peripheral part of the pixel image is calculated on the basis of an output of picture elements corresponding to the peripheral part of the pixel image is calculated, all pixels of the display panel are sorted into a plurality of groups, sequentially turned on one group after another, and imaged by the camera, and the luminance of all the pixels of the display panel is calculated based on this imaged image, the central exposure factor, and the peripheral exposure factor.
Abstract:
Provided is a luminance measurement method for accurately measuring luminance of each pixel even if pixel images of a display panel overlap each other on an imaging surface of a camera. Pixels of a display panel are imaged by a solid-state imaging camera. One or more pixels are turned on and imaged such that pixel images do not overlap each other on an imaging surface. A central exposure factor indicating luminance of the central part of the pixel image is calculated based on a picture element output corresponding to the central part. A peripheral exposure factor indicating luminance of the peripheral part of the pixel image is calculated based on a picture element output corresponding to the peripheral part. All pixels are turned on and imaged, and luminance of all pixels is calculated based on this imaged image, the central exposure factor, and the peripheral exposure factor.