Visual comfort prediction based on saliency adaptation and visual comfort enhancement method based on nonlinear mapping
A non-linear mapping and self-adaptive technology, used in television, electrical components, stereo systems, etc., can solve problems such as inconspicuousness, achieve good correlation, reduce complexity, and avoid parallax adjustment.
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[0046] refer to figure 1 , the implementation steps of the present invention are as follows:
[0047] Step 1. Significant estimation
[0048] 1a) Read in the left view image I of a 2D color image l , using the GBVS saliency map extraction method to obtain the corresponding color saliency map S I ;
[0049] 1b) read in the left viewpoint image I of the 2D color image l and the right view image I r , using the DERS estimation method to obtain the corresponding disparity saliency map S D ;
[0050] Step 2. Synthesize a salient adaptive disparity map
[0051] 2a) First to S I Perform normalization processing to convert its pixel value into a double-precision value in the range of [0,1] to indicate its significance. If the pixel value of a certain point is closer to 0, it indicates that the point is less significant; if the pixel value of a certain point is closer to 1, it indicates that the point is more significant. Normalization formula: where S I (x, y) represents ...
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