The present disclosure generally relates to a method and device of converting a high-dynamic-range (HDR) version of a picture to a standard-dynamic-range (SDR) version of this picture. The method is characterized in that it converts the high-dynamic-range version to the standard-dynamic-range version of the picture according to: a first indicator (I1) that indicates the presence of color mapping parameters; a second indicator (I2) that indicates whether a device is configured to convert the high-dynamic-range version to the standard-dynamic-range version of the picture by taking into account said color mapping parameters; and a third indicator (I3) that indicates whether converting without taking into account said color mapping parameters is inhibited.

An imagery processing system determines alternative pixel color values for pixels of captured imagery where the alternative pixel color values are obtained from alternative sources. A main imagery capture device, such as a camera, captures main imagery such as still images and/or video sequences, of a live action scene. Alternative devices capture imagery of the live action scene, in some spectra and form, and that alternative imagery is processed to provide user-selectable alternatives for pixel ranges from the main imagery.

An image processing apparatus comprising: an input unit configured to input image signals which include a first signal and a second signal lower in spatial resolution than the first signal; an obtaining unit configured to obtain information about a spatial high-frequency component of the first signal which is included in the image signals input by the input unit; a generation unit configured to generate an expanded second signal obtained by expanding the spatial resolution of the second signal included in the image signals by using the information about the spatial high-frequency component of the first signal obtained by the obtaining unit; and an output unit configured to output a processed image signal which includes the expanded second signal generated by the generation unit.

Methods and apparatuses are disclosed for modifying images of skin so as to reduce or enhance the appearance of component pigments, such as melanin and hemoglobin. A diffuse reflectance image of skin, such as a cross-polarized contact dermoscopy image, which conveys information regarding subsurface features of the skin, is processed so as to extract pigment distribution information, which is then used to correct the diffuse reflectance image, such as by reducing the appearance of melanin to allow better visualization of hemoglobin-related structures, such as vasculature. Alternatively, the diffuse reflectance image can be corrected so as to reduce the appearance of hemoglobin to allow better visualization of melanin-related structures.

Visibility of a license plate and color reproducibility of a vehicle body are improved in a monitoring camera.

A vehicle body area detection unit detects a vehicle body area of a vehicle from an image signal. A license plate area detection unit detects a license plate area of the vehicle from the image signal. A vehicle body area image processing unit performs processing of the image signal corresponding to the detected vehicle body area. A license plate area image processing unit performs processing different from the processing of the image signal corresponding to the vehicle body area on the image signal corresponding to the detected license plate area. A synthesis unit synthesizes the processed image signal corresponding to the vehicle body area and the processed image signal corresponding to the license plate area.

An image processing apparatus includes an estimator (804b) which estimates a moire component included in an image based on optical characteristic information, a determiner (804c) which determines a correction amount based on the estimated moire component, and a corrector (804d) which corrects the image so as to reduce the moire component included in the image based on the correction amount.

Hyperspectral, fluorescence, and laser mapping imaging with a minimal area image sensor are disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation, wherein the pixel array comprises active pixels and optical black pixels. The system includes a black clamp circuit providing offset control for data generated by the pixel array. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises one or more of: electromagnetic radiation having a wavelength from about 513 nm to about 545 nm; electromagnetic radiation having a wavelength from about 565 nm to about 585 nm; electromagnetic radiation having a wavelength from about 900 nm to about 1000 nm; an excitation wavelength of electromagnetic radiation that causes a reagent to fluoresce; or a laser mapping pattern.

The disclosure provides a test result recognizing method and a test result recognizing device. The method includes: controlling an image-capturing device to capture a first image of a display screen according to an image-capturing parameter; in response to determining that a reference image area including a first designated character string exists in the first image, controlling the image-capturing device to capture a first test image of the display screen according to the image-capturing parameter; extracting a first image area corresponding to the reference image area from the first test image, and performing a text dividing operation on the first image area to convert the first image area into a second image area; and performing a text recognition operation on the second image area to obtain a first test result corresponding to the first test image.

An image processing device includes a processor, and the processor acquires a captured image that has been captured using an image sensor, the image sensor including a multi-band color filter array in which color filters that respectively correspond to four or more bands are arranged in an array, generates a low-noise reference image subjected to a noise reduction process as a reference image that is used for an interpolation process that is performed on pixel values of the captured image, and performs the interpolation process on a band basis based on the generated low-noise reference image to generate an interpolated image in which pixel values of missing pixels are interpolated.

A method and apparatus for predicting chroma values including the steps of having a decoder provide an image frame to an up-sample filter, the image frame having luma and chroma components, and applying an analysing algorithm on a subset of said image frame to obtain the subset content type, and, depending on the content type, select a reconstruction algorithm to reconstruct the chroma components.