Single-layer progressive coding for supporting multi-capability hdr composition
US-2019281325-A1 · Sep 12, 2019 · US
US11657545B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11657545-B2 |
| Application number | US-202117225760-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 8, 2021 |
| Priority date | Apr 13, 2020 |
| Publication date | May 23, 2023 |
| Grant date | May 23, 2023 |
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The present invention relates to a device, method, and smart glasses for color vision deficiency correction. The method includes: adjusting a color of an image according to an environmental color temperature to obtain an adjusted image, and then adjusting a pixel level of the adjusted image to a preset pixel level according to image content, to obtain a to-be-processed image; determining an adjustment matrix based on an RGB value of the to-be-processed image and a preset RGB target value; comparing a color displayed on a display with a color of a standard colorimetric card for correction, to determine an adjustment mapping table; and generating a target image based on the to-be-processed image, the adjustment matrix, and the adjustment mapping table. The present invention increases the degree of color recognition and improves imaging effects, and can implement good color vision deficiency correction.
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What is claimed is: 1. A color vision deficiency correction method, comprising: adjusting a color of an image according to an environmental color temperature to obtain an adjusted image, and then adjusting a pixel level of the adjusted image to a preset pixel level according to image content, to obtain a to-be-processed image; determining an adjustment matrix based on an RGB value of the to-be-processed image and a preset RGB target value; comparing a color displayed on a display with a color of a standard colorimetric card for correction, to determine an adjustment mapping table; and generating a target image based on the to-be-processed image, the adjustment matrix, and the adjustment mapping table, wherein the adjusting a pixel level of the adjusted image to a preset pixel level comprises: performing inverse tone mapping on a preset key frame of the adjusted image, and performing motion estimation on frames other than the preset key frame so as to adjust the pixel level of the adjusted image to the preset pixel level, wherein one frame is processed for every preset number of frames of the adjusted image, and the processed frame is the key frame; and using a first neural network to perform inverse tone mapping on the preset key frame of the adjusted image, and using an optical flow method to perform motion estimation on the frames other than the preset key frame, wherein the first neural network is a neural network with an encoder-decoder architecture. 2. The color vision deficiency correction method according to claim 1 , wherein the color of the image captured by a camera is adjusted according to the environmental color temperature, and the RGB value of the image captured by the camera is adjusted by using the following formula: R = { 2 5 5 , T ≤ 6 6 3 2 9 . 6 9 8 7 * ( T - 6 0 ) - 0.133 , T > 6 6 G = { 9 9 . 4 7 * ln T - 1 6 1 . 1 1 9 5 , T ≤ 6 6 2 8 8 . 1 2 * ( T - 6
Texturing; Colouring; Generation of textures or colours (retouching, inpainting or scratch removal G06T5/77) · CPC title
Color image · CPC title
characterised by the way in which colour is displayed {(details of colour display specific for CRTs G09G1/28; specific for flat matrix panels other than liquid crystal displays G09G3/2003; specific for liquid crystal displays G09G3/3607)} · CPC title
characterised by optical features · CPC title
Eyeglass type (eyeglass details G02C) · CPC title
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