An image capturing apparatus includes a reception unit configured to connect with an external device, which is able to transmit a plurality of learned models, and receive list information of a plurality of learned models, a selection unit configured to select, based on the list information of the plurality of learned models, a learned model from the plurality of learned models, and a transmission unit configured to transmit a transmission request for the learned model selected by the selection unit to the external device, wherein, the reception unit receives the selected learned model transmitted from the external device.

An image display apparatus displays an image to be printed on a desired printing medium by using a desired printing apparatus. In this process, medium images corresponding to the tint of the printing medium illuminated with one of illumination light fluxes having a plurality of color temperatures are displayed on a specific display with the medium images associated with the color temperatures of the illumination light fluxes, and specification of one of the medium images or the color temperature associated with the medium image is accepted. When the specification is made, an illumination light flux reflecting image having the tint of the image printed on the printing medium by the printing apparatus and illuminated with the illumination light flux having the color temperature corresponding to the specification is displayed on the specific display.

A method of performing scene-dependent lens shading correction (SD-LSC) is provided. The method includes collecting scene information from a Bayer thumbnail of an input image; generating a standard red green blue (sRGB) thumbnail by processing the Bayer thumbnail of the input image to simulate white balance (WB) and pre-gamma blocks; determining a representative color channel ratio of the input image based on the scene information and the sRGB thumbnail; determining an ideal grid gain of the input image based on the representative color channel ratio and a grid gain of the input image; merging the ideal grid gain and the grid gain of the input image to generate a new grid gain; and applying the new grid gain to the input image.

If a scene change is not detected by a scene change detector, in each frame until a count value of a frame counter reaches a predetermined value, a tone curve pattern updater sets a representative point group of a tone curve pattern selected in the most recent frame in which a count value is reset to an initial value as a representative point group for updating. By assuming that k is a number less than 1, the tone curve pattern updater generates a first multiplication value obtained by multiplying the set representative point group for updating by a coefficient (1−k) and a second multiplication value obtained by multiplying the representative point group output by the tone curve pattern updater in an immediately preceding frame of each frame by a coefficient k, and outputs a combined representative point group obtained by adding the first multiplication value and the second multiplication value.

If a scene change is not detected by a scene change detector, in each frame until a count value of a frame counter reaches a predetermined value, a tone curve pattern updater sets a representative point group of a tone curve pattern selected in the most recent frame in which a count value is reset to an initial value as a representative point group for updating. By assuming that k is a number less than 1, the tone curve pattern updater generates a first multiplication value obtained by multiplying the set representative point group for updating by a coefficient (1−k) and a second multiplication value obtained by multiplying the representative point group output by the tone curve pattern updater in an immediately preceding frame of each frame by a coefficient k, and outputs a combined representative point group obtained by adding the first multiplication value and the second multiplication value.

Devices, systems, and methods for enhancing color consistency in images are disclosed. A method may include activating, by a device, a camera to capture first image data; while the camera is capturing the first image data, activating of a first light source; receiving the first image data, the first image data having pixels having first color values; identifying first light generated by the first light source while the camera is capturing the first image data; identifying, based on the first image data, second light generated by a second light source; generating, based on the first light, the second light, and a distance between the camera and the vehicle light, second color values for the pixels of the first image data; generating second image data based on the second color values; and presenting the second image data.

An image processing apparatus, an imaging apparatus, an image processing method, and a non-transitory computer readable medium for storing an image processing program capable of controlling the brightness of a desired color in a captured image are provided. A brightness and color difference conversion processing unit generates a reference first brightness signal “Y1” and color difference signals “Cb and Cr” from color signals “R.sub.1, G.sub.1, and B.sub.1” of three primary colors after gamma conversion. A second brightness signal generation unit generates a second brightness signal “Y2” in which a value of a brightness signal corresponding to a target color is decreased with respect to the first brightness signal “Y1” from the color signals “R.sub.1, G.sub.1, and B.sub.1”. The brightness of the desired target color can be controlled according to the reference first brightness signal “Y1” and the second brightness signal “Y2”.

An image processing apparatus, an imaging apparatus, an image processing method, and a non-transitory computer readable medium for storing an image processing program capable of controlling the brightness of a desired color in a captured image are provided. A brightness and color difference conversion processing unit generates a reference first brightness signal “Y1” and color difference signals “Cb and Cr” from color signals “R.sub.1, G.sub.1, and B.sub.1” of three primary colors after gamma conversion. A second brightness signal generation unit generates a second brightness signal “Y2” in which a value of a brightness signal corresponding to a target color is decreased with respect to the first brightness signal “Y1” from the color signals “R.sub.1, G.sub.1, and B.sub.1”. The brightness of the desired target color can be controlled according to the reference first brightness signal “Y1” and the second brightness signal “Y2”.

A system, method, and computer program product for generating a digital image is disclosed. In use, a first image and a second image are received from a first image sensor, where the first image sensor detects wavelengths of a visible spectrum. A third image and a fourth image are received from a second image sensor, where the second image sensor detects wavelengths of a non-visible spectrum. Using an image processing subsystem, a resulting image is generated by combining one of the first image or the second image, with one of the third image or the fourth image.

An image processing method, an image processing apparatus, an electronic device and a computer readable storage medium are provided. The image processing method includes the following. A background image and a portrait region image of a current user that a preset parameter of the background image matching the preset parameter of the portrait region image are acquired. The portrait region image and the background image are merged to obtain a merged image.