A color gamut detection method for ultra-high-definition film sources for multi-category image conversion and comparison
An image conversion, multi-category technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as damage to the enthusiasm of the ultra-high-definition market, and the quality of ultra-high-definition programs does not meet the requirements of technical standards, so as to reduce overfitting. The effect of reducing the risk of integration, the overall detection accuracy of the system, and reducing the difficulty of training
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[0022] The implementation of the present invention will be described in further detail below in conjunction with the accompanying drawings.
[0023] A method for detecting the color gamut of an ultra-high-definition film source for multi-category image conversion and comparison, comprising the following steps:
[0024] Step 1. Construct a color gamut detection network for multi-category image conversion and comparison, which is used to detect the color gamut of the video source. The detection of video source color gamut includes two color gamut categories: BT.709 and BT.2020.
[0025] Such as figure 1 As shown, the color gamut detection network constructed in this step includes image conversion and contrast layer, residual unit Block1-5, fully connected layer and output layer. The size of the input image is uniformly 224×224×3. First, the input image is converted through the image conversion and contrast layer, and then the output of this layer is sent to Block1, Block2, Blo...
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