Video input equipment gamma characteristic correcting method and apparatus in video communication

Abstract

The method includes operations:(1) Divide the RGB color space (RCS) into multi-cells, (2) linearize the gamma feature function (GFF) of the video input device (VID) cell by cell, (3) correspondingly map all cells of RCS into the YUV color space (YCS) to convert YCS into cells, (4) build linear GFF having unified format and different parameters, (5) use linear GFF and linear gamma correct function (LGCF) to relate the corrected YCS vector with the non-distortion RGB color vector (NRCV) to ensure the related vector and NRCV in the same signal space, (6) use the related vector and NRCV to set a mathematic optimizing subject, (7) solve this subject and obtain parameters of LGCF of all cells of YCS, (8) finally cell by cell gamma-correct the video signal of YCS output from VID according to the gamma correct function. This invention reaches the aims about the gamma correct: easy to use, extensive application range and low cost.

Description

technical field [0001] The invention relates to the technical field of video communication, in particular to a method and device for correcting gamma characteristics of video input equipment in video communication. Background technique [0002] Video communication, especially multi-party video communication, is currently being used more and more widely with the rapid development of broadband networks. Domestically and internationally, video conferencing and videophone services are becoming basic services on NGN (Next Generation Network, Next Generation Network). Telecom operators in various countries also attach great importance to this market opportunity. It is expected that in the next few years, the video communication service will become an important business growth point for operators. [0003] A key issue in developing video communication services is to improve end-to-end user experience (User Experience or Quality of Experience). In user experience, in addition to ...

AI Technical Summary

Problems solved by technology

[0033] In the second method, Gamma correction will cause the loss of video signal due to the rounding error caused by the operation. Moreover, a large number of multiplication operations will cost a lot, especially in the software implementation. The consumption of calibration by look-up table method is much larger

[0034] From the above description, it can be seen that the current Gamma correction method has problems such as high implementation cost, poor application range, and serious resource consumption.

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