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.

Active Publication Date: 2016-07-06
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there are still many problems to be solved urgently in the practical application of virtual reality hardware equipment, including: (1) the film source has no versatility: different stereoscopic display devices can only use the film source of its own special format, and the different film source The impact of versatility on the popularization and application of emerging stereoscopic display devices is particularly obvious. These stereoscopic display devices have very few film sources at the beginning of their launch. To reach a cert

Method used

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  • Visual rivalry improving method of complementary color three-dimensional image for improving color fidelity
  • Visual rivalry improving method of complementary color three-dimensional image for improving color fidelity
  • Visual rivalry improving method of complementary color three-dimensional image for improving color fidelity

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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...

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Abstract

The invention provides a visual rivalry improving method of a complementary color three-dimensional image for improving color fidelity. The method comprises the steps of transforming symmetrical left view and right view of a three-dimensional image from an RGB color space to a CIE L*a*b* color space; then calculating the sensing area of a cyan lens in the CIE L*a*b* color space; matching and mapping the right view to the two-dimensional sensing area of the cyan lens, and calculating corresponding a* and b* values of each pixel in the matched and mapped right view; adjusting the brightness of the left view and the right view based on a chromatic value, and separately calculating a corresponding L* value of each pixel in the adjusted left view and right view; inversely transforming the processed left view and right view from the CIE L*a*b* color space to the RGB color space to synthesize a red and cyan complementary color three-dimensional image. The method can improve the color fidelity of the complementary color three-dimensional image on the premise of effectively reducing the visual fatigue in view of the three-dimensional image and obtaining more comfortable three-dimensional visual experience.

Description

technical field [0001] The invention relates to a color-complementary stereoscopic image synthesis technology, in particular to a red-cyan complementary color stereoscopic image synthesis technology for improving the visual competition phenomenon of the complementary-color stereoscopic image and improving color fidelity. Background technique [0002] As virtual reality technology entered the "first year of virtual reality" in 2016, virtual reality applications began to enter the stage of commercial promotion. Correspondingly, the hardware level of stereoscopic display devices continues to improve, and people's demand and enthusiasm for stereoscopic display is unprecedentedly high. Stereoscopic display technology can be divided into two categories: one is free stereoscopic display without wearing any auxiliary tools, that is, naked eye stereoscopic display technology, including stereoscopic display, free stereoscopic display based on liquid crystal display, non-glasses hologr...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T7/40G06T5/00
CPCG06T3/40G06T5/007G06T2207/20221
Inventor 齐敏杜乾敏程恭朱柏飞魏效昱
Owner NORTHWESTERN POLYTECHNICAL UNIV
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