YUV and RGB color gamut conversion method based on embedded equipment

Abstract

The invention discloses a YUV and RGB color gamut conversion method based on embedded equipment, mainly comprising the steps of: establishing a color gamut conversion table, the color gamut conversion table including the mapping relation between each signal type and a conversion index value; when a signal is inputted into embedded equipment, recognizing the format, resolution ratio and color gamut space of a received signal; if the color gamut space is a YUV color gamut space, recognizing a signal type according to the format and resolution ratio; according to a recognition result, searching for a corresponding conversion index value in the color gamut conversion table, and calling a corresponding conversion function module according to a searched conversion index value, thereby allowing the corresponding conversion function module to operate to complete signal color gamut conversion, and to output the color gamut conversion to a display for display. According to the format, resolution ratio and color gamut space of an inputted signal, the YUV and RGB color gamut conversion method automatically starts a color gamut conversion function so as to rapidly recognize and convert a signal color gamut.

Description

technical field [0001] The invention relates to the technical field of panel display, in particular to a YUV and RGB color gamut conversion method based on an embedded device. Background technique [0002] With the rapid development of medical operating rooms and displays, the integration of operating rooms is getting higher and higher, and more medical equipment is used in operating rooms. At the same time, with the advancement of technology, the output signal formats of medical equipment from various manufacturers more and more. In this way, the doctor can view more information about the patient during the operation. At the same time, the improvement of signal resolution also avoids diagnostic errors caused by low signal clarity. However, if the color gamut space of the input signal cannot be automatically identified, it will Causes the image of the input signal to be displayed incorrectly. For example, the equipment in the general operating room outputs video signals, a...

AI Technical Summary

Problems solved by technology

In this way, the doctor can view more information about the patient during the operation. At the same time, the improvement of signal resolution also avoids diagnostic errors caused by low signal clarity. However, if the color gamut space of the input signal cannot be automatically identified, it will Cause input signal image display error

For example, the equipment in the general operating room outputs video signals, and the color gamut spaces commonly used in video signal systems are YUV or RGB. , it will lead to the deviation of the displayed image color, and the adjustable range of the brightness will become smaller. At the same time, if it is a grayscale image, it will cause some grayscales to be indistinguishable

[0003] Therefore, for operating rooms with more and more integrated devices, the method that can only identify and convert the color gamut space of a single device signal can no longer meet the requirements of simultaneous identification, conversion and display of multi-device signals

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