In one or more implementations, the apparatus, systems and methods disclosed herein are directed to calibrating a smart phone with an arbitrary phone case for color lookup applications, wherein the calibration process includes obtaining, with the smartphone without the case equipped, a first measurement data set that includes at least one measurement of each of a black, white and grey calibration target; obtaining, with the smartphone with the case equipped, at least three exposure measurements of a white calibration target at least three different exposure times; calculating an optimized exposure time using at least the at least three exposure measurements; obtaining, with the smartphone with the case equipped, a second measurement data set that includes at least one measurement of each of a black, white and grey calibration target at the optimized exposure time; generating fitting parameters from the first and second measurement datasets; and storing the generated fitting parameters and optimized exposure time in at least one of a local or remote data storage device.

Disclosures of the present invention describe a device for measuring retina safety improvement index, comprising: a light receiving unit, a first data processing unit and a second data processing unit. The light receiving unit receives a first visible light and a second visible light that is obtained by letting the first visible light pass through a blue light blocking product. The first data processing unit calculates a first maximum permissible exposure (MPE) of the first visible light and a second MPE of the second visible light. The second data processing unit calculates a retina safety improvement (RSI) index based on the first MPE and the second MPE. As such, by using this device, a consumer is facilitated to know how much eyes-protecting ability does a specific blue light blocking product have, without needing to read any numeric value of blue light filtering percentage and/or unfamiliar spectrogram.

A method for constructing a colour space specific to an individual viewing a colour image on a display device, including at least the following steps: a first step of measuring an emitted spectral radiance; a second step of constructing a Euclidean colour space of the lights emitted by the display device; a third step of measuring, by computer, a luminance vector field perceived by the individual; a fourth step of constructing a model corresponding to the individual's perception of the colours.

Disclosed is a color and luminance measuring device including a filter unit including a case which covers the entire device and has a light incident part formed on one side thereof through which measured light emitted from an object to be measured is incident, a measurement unit which measures luminance and a color by receiving the measured light in the case, and a filter unit which is disposed on a movement path of the measured light in the case to selectively control the luminance of the measured light transmitted to the measurement unit and transmit the measured light, wherein the filter unit reduces the luminance of the measured light to a predetermined level when the measured light has luminance of a predetermined level or higher and transmits the measured light to the measurement unit.

An electronic device and a method of controlling the same are provided. The electronic device may include a display; a communication circuit; a camera; and at least one processor configured to: based on an execution of a compensation application for performing compensation on an image of a display device, control the display to output guide information including an interface indicating the electronic device to move to meet an image capturing condition for capturing an image of a partial area of a display device connected through the communication circuit; and based on the compensation of the image of the display device being completed, output a first image of the display device before the compensation and a second image of the display device after the compensation.

Disclosed is a system for analyzing a display device, the system including: an image photographing device configured to photograph an image for inspection output from a display device to be inspected and obtain an RGB value for inspection from the photographed image; and an inspection control unit configured to convert the RGB value for inspection into a CIE XYZ value by using a previously prepared color conversion function, and determine defect of the display device to be inspected by using the converted CIE XYZ value.

A projection position detection device includes: a spectroscopic camera receiving light from an image pickup range including a projection image projected onto a projection target, and picking up a plurality of spectral images corresponding to different wavelengths from each other; a spectrum computation unit computing an optical spectrum of each pixel, based on the plurality of spectral images; a feature point detector detecting a feature point in the image pickup range, based on the optical spectrum of the pixel; and a projection position calculator calculating a relative position of the projection image to the feature point.

A light amount measurement device includes: a light source unit including a light source; a display unit including a transmissive panel that transmits light emitted from the light source; a light reception unit configured to measure an amount of light that has passed through the display unit; and a control unit configured to control, during calibration of the display unit, a brightness measured by the light reception unit to a higher brightness than an ideal brightness corresponding to a measurement gradation, by either increasing the light amount emitted by the light source or increasing a transmittance of the display unit.

A system and method for performing color calibration using barcodes with colored subunits. The barcode can be decoded in a conventional way and the colors of the subunits can be used for color calibration.

A texture recognition device and a self-luminous display panel. The texture recognition device includes a substrate, an optical sensing layer, and a light-blocking structure. The optical sensing layer and the light-blocking structure are stacked on the substrate. The light-blocking structure includes a plurality of light transmission hole groups, at least one of which includes C.sup.2 light transmission holes. C is a positive integer. The optical sensing layer includes multiple optical sensing groups. The multiple optical sensing groups corresponds to the multiple light transmission hole groups respectively. An orthogonal projection of one optical sensing group on the substrate completely covers an orthogonal projection of a corresponding light transmission hole group on the substrate, and an orthogonal projection of a center of the optical sensing group on the substrate coincides with an orthogonal projection of a center of the corresponding light transmission hole group on the substrate.