Visual rivalry improving method of complementary color three-dimensional image for improving color fidelity
A technology of stereoscopic image and visual competition, which is applied in the field of stereoscopic image synthesis with red and blue complementary colors, and can solve the problems of bulkiness, lack of versatility of film sources, color distortion, etc.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0174] The input size is the left view and the right view of the "duck" color stereo image pair of 400 * 300 pixels, respectively adopting XYZ algorithm, HSV algorithm and the present invention to synthesize red and blue complementary color stereo images. According to the obvious geometric features of the unoccluded area in the right view, select four feature points, which are recorded as point 1, point 2, point 3, and point 4, and then determine four groups of feature point pairs on the right view and the red-cyan complementary color stereoscopic image, record The R, G, and B three-component values of the four groups of feature point pairs are used to calculate the percentage of color difference, and the results are shown in Table 1:
[0175] Table 1 The color comparison of the three-dimensional image synthesis algorithm of the red and green complementary colors of the "duck" image
[0176]
[0177] As can be seen from Table 1, the color difference percentage calculated ...
Embodiment 2
[0179] The input size is the left view and the right view of the "archway" color stereoscopic image pair of 800 × 600 pixels, respectively adopting XYZ algorithm, HSV algorithm and the present invention to synthesize red and blue complementary color stereoscopic images. According to the obvious geometric features of the unoccluded area in the right view, select four feature points, which are recorded as point 1, point 2, point 3, and point 4, and then determine four groups of feature point pairs on the right view and the red-cyan complementary color stereoscopic image, record The R, G, and B three-component values of the four groups of feature point pairs are used to calculate the color difference percentage, and the results are shown in Table 2:
[0180] Table 2 The color comparison of the three-dimensional image synthesis algorithm of the red and green complementary colors of the "Paifang" image
[0181]
[0182] As can be seen from Table 2, the complementary color ster...
Embodiment 3
[0184] The input size is the left view and the right view of the "Superman" color stereo image pair of 420 * 330 pixels, respectively adopting XYZ algorithm, HSV algorithm and the present invention to synthesize red and blue complementary color stereo images. According to the obvious geometric features of the unoccluded area in the right view, select four feature points, which are recorded as point 1, point 2, point 3, and point 4, and then determine four groups of feature point pairs on the right view and the red-cyan complementary color stereoscopic image, record The R, G, and B three-component values of the four groups of feature point pairs are used to calculate the color difference percentage, and the results are shown in Table 3:
[0185] Table 3 The color comparison of the three-dimensional image synthesis algorithm of the red and green complementary colors of the "Superman" image
[0186]
[0187] As can be seen from Table 3, the color difference percentage differ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com