A system includes an image processing device connected to a transmission and reception device that communicates with an external device, and a terminal device connected to a display device. The image processing device includes an evaluation value calculation processor that calculates, for each of two or more types of output modes, an evaluation value of output image data when image data is output in the output mode, and an evaluation information transmitter that transmits evaluation information including information based on the evaluation value for each of the output modes, to the terminal device, via the transmission and reception device. The terminal device includes a display controller that performs control of displaying, for each of the output modes, the information based on the evaluation value corresponding to the output mode, on the display device, if the evaluation information is received.

Techniques to improve operation of an augmented reality device and/or system utilizing fiducial markers and/or colorspace conversions are provided. In various embodiments, one or more fiducial markers in an environment associated with the augmented reality device are updated and optimized in relation to environmental changes utilizing one or more color-space conversion techniques. Other embodiments are described and claimed.

Image processing systems and methods are disclosed, including an image processing system comprising a computer running image processing software causing the computer to: divide an oblique aerial image into a plurality of sections, choose reference aerial image(s), having a consistent color distribution, for a first section and a second section; create a color-balancing transformation for the first and second sections of the oblique aerial image such that the first color distribution of the first section matches the consistent color distribution of the chosen reference aerial image and the second color distribution of the second section matches the consistent color distribution of the chosen reference aerial image; color-balance pixel(s) in the first and section sections of the oblique aerial image, such that at least one color-balancing transformation of the first and second sections matches the consistent color distribution of the reference aerial image(s).

Techniques to improve operation of an augmented reality device and/or system utilizing fiducial markers and/or colorspace conversions are provided. In various embodiments, one or more fiducial markers in an environment associated with the augmented reality device are updated and optimized in relation to environmental changes utilizing one or more color-space conversion techniques. Other embodiments are described and claimed.

A method includes obtaining first color information for each of a plurality of first samples of a first target color with a color measurement device connected to a computing device including a display. A digital color image of at least one first target color is displayed on the display. An offset value for each first target color is determined such that the digital color image of each first target color matches the corresponding first target color on each of the first samples. A second sample including a second target color is scanned to obtain second color information. A processor of the computing device determines, using the offset values of the first target colors, an interpolated offset for the display such that the digital image of the second target color matches the second target color.

A PC causes a printing apparatus to print a color chart sheet including a color chart and a first image, the first image indicating a color measurement start position and a color measurement start direction of a colorimeter in a forward path in a leading line of the color chart.

A PC presents, to a user, a difference between an actual speed and an ideal speed, the actual speed being a moving speed of a colorimeter when the user moves the colorimeter with respect to a color chart, the ideal speed being a moving speed of the colorimeter ideal for color measurement on the color chart.

Image processing systems and methods are disclosed, including an image processing system comprising a computer running image processing software causing the computer to divide an oblique aerial image into a plurality of sections having different color distributions, choose a first reference aerial image, having a consistent color distribution, for the first section, color-balance at least one pixel in the first section of the oblique aerial image, such that the first color distribution of the first section matches the consistent color distribution of the first reference aerial image, by performing color-balancing transformations for color bands for each of the at least one pixel in the first section.

Examples are described for applying different settings for image capture to different portions of image data. For example, an image sensor can capture image data of a scene and can send the image data to an image signal processor (ISP) and a classification engine for processing. The classification engine can determine that a first object image region depicts a first category of object, and a second object image region depicts a second category of object. Different confidence regions of the image data can identify different degrees of confidence in the classifications. The ISP can generate an image by applying a different settings to the different portions of the image data. The different portions of the image data can be identified based on the object image regions and confidence regions.

A control apparatus capable of setting a suitable correction parameter while reducing user's troublesome. The control apparatus including a database that holds correction parameters for correcting pickup images to reduce color difference between pickup images of image pickup apparatuses in association with combinations of standard image pickup apparatus information and image pickup conditions of image pickup apparatuses, a memory device that stores instructions, and a processor that executes the instructions to obtain first information showing a standard image pickup apparatus at a present time and second information showing a target image pickup apparatus that picks up an image as a correction target at the present time, obtain the image pickup conditions of the image pickup apparatuses, determine a setting correction parameter that is set to the target image pickup apparatus from the database based on the first information and the image pickup conditions apparatuses, and output the setting correction parameter.