Provided are an image processing method and apparatus, an electronic device, and a readable storage medium. Based on the edge detection result of pixels, the IR component image and the RGB component image are sequentially restored and obtained; when the color component is restored, the G component with higher resolution and more complete information is first restored, and then the R and B components are restored so that the restored color image has higher accuracy and image definition.

A device, method and program may properly perform gamut conversion of content and be applied to a gamut conversion device. A restoration conversion state confirming unit performs confirmation such as gamut conversion state of image data read out from an optical disc and the existence or not of restoration metadata. An information exchange unit communicates with an output device via a communication unit and performs information exchange such as the existence or not of restoration processing functionality and gamut conversion functionality and the like. A determining unit determines whether or not restoration processing is performed with a playing device based on information obtained by the restoration conversion state confirming unit and the information exchange unit. Similarly, the determining unit determines whether or not to perform gamut conversion processing with the playing device based on information obtained by the restoration conversion state confirming unit and the information exchange unit.

A method, system, apparatus, and/or device for displaying a portion of data so as to not obstruct a portion of a central visual field. The method, system, apparatus, and/or device may include a display configured to display data and a processing device coupled to the display. The processing device may be configured to determine a position of an eye of a viewer with respect to the display, define a first region of the display substantially corresponding with a peripheral vision field of the eye, define a second region of the display substantially corresponding with a central visual field of the eye, send a first portion of the data to be displayed at the first region, and send a second portion of the data to be displayed at the second output region such that a portion of the central visual field is unobstructed by the second portion of the data.

A method for color mapping a video signal into a mapped video signal responsive to at least one color mapping function is disclosed. To this aim, at least one black point offset is determined responsive to a color encoding system of the video signal and to a color encoding system of the mapped video signal. The at least one black point offset and the at least one color mapping function are then applied on the video signal to obtain the mapped video signal.

In a method to improve backwards compatibility when decoding high-dynamic range images coded in a wide color gamut (WCG) space which may not be compatible with legacy color spaces, hue and/or saturation values of images in an image database are computed for both a legacy color space (say, YCbCr-gamma) and a preferred WCG color space (say, IPT-PQ). Based on a cost function, a reshaped color space is computed so that the distance between the hue values in the legacy color space and rotated hue values in the preferred color space is minimized HDR images are coded in the reshaped color space. Legacy devices can still decode standard dynamic range images assuming they are coded in the legacy color space, while updated devices can use color reshaping information to decode HDR images in the preferred color space at full dynamic range.

The present invention relates to a method of generating “expanded color chart” representing various ink combination, for profiling a multi-color printing device or printer, using “reduced set of color chart”, printed using the printer, where a. The expanded color chart is computed by applying “Error Correction” function to the expanded color chart predicted using a theoretical model of color prediction for a given ink combinations in the expanded chart. b. Error Correction function is computed/modelled as function of the variance/difference observed between the color values predicted by the theoretical model and the actual values measured for the ink combinations in the printed “reduced set of color chart”.

A medical signal processing device 6 receives a picture signal imaged by a medical observation device 2 and processes the picture signal. The medical signal processing device 6 includes: a signal input unit 61 that receives the picture signal; a first signal converting unit 62 that converts the picture signal received by the signal input unit 61 from an RGB signal into a luminance signal and a color difference signal by performing a matrix calculating process; an identification information appending unit 63 that appends color gamut identification information related to a color gamut of the picture signal and corresponding to the matrix calculating process, to the picture signal resulting from the conversion; and a signal output unit 64 that outputs the picture signal to which the color gamut identification information has been appended, to either a medical display device 4 or a medical recording device provided externally.

Methods and systems for gamut mapping are disclosed. Pixels of an image or points of a look-up-table can be gamut mapped in a multi-step iterative process, by generating a coarse gamut hull and calculating a value of a distance metric for out-of-gamut pixels or LUT points, and subsequently generating a fine gamut hull in the neighborhood of the coarse gamut hull points closest to the out-of-gamut pixel or LUT points under consideration. The out-of-gamut pixel or LUT point is gamut mapped based on the smallest distance metric value calculated.

There is provided an image representation method, including: converting a to-be-converted image from a first color space to a second color space; acquiring a target conversion color ratio corresponding to each pixel of the to-be-converted image and including ratios of plural target conversion colors, according to a color ratio allocation table based on the second color space; creating an array corresponding to the pixel according to the target conversion color ratio; calculating an index value corresponding to the pixel according to a position of the pixel in the to-be-converted image, and inputting the index value to the array as a subscript of the array, to acquire an element of the array as a target value corresponding to the pixel; and determining a target conversion color of the pixel according to the target value, to acquire a converted image including the plural target conversion colors.

A method for calibrating a dyeing machine, comprising: for each of multiple colors: performing a maximizing stage to determine an effective maximum ink dispensing rate corresponding to an effective maximum colorimetric value for the dyeing machine; performing a linearizing stage, comprising: determining multiple ink dispensing rates for performing the linearizing stage by dividing the effective maximum ink dispensing rate into multiple intervals, calculating from the effective maximum colorimetric value, a linear correspondence between the multiple ink dispensing rates and multiple calculated colorimetric values, dyeing a set of substrates according to the multiple ink dispensing rates, acquiring color values of the dyed set of substrates, interpolating a non-linear correspondence between the multiple ink dispensing rates and the acquired color values, and mapping the linear correspondence to the non-linear correspondence.