A color restoration method of a mural
A technology for color restoration and mural painting, applied in image data processing, instruments, calculations, etc., can solve the problem of unconditional restoration of mural color and achieve the effect of meeting high-precision requirements
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0033] The present embodiment provides a kind of mural color recovery method, comprises the following steps:
[0034] Step 1, using the multi-spectral imaging system to collect the spectral data of the mural to be restored, and obtain the spectral data to be restored;
[0035] Step 2, perform dimensionality reduction processing on the spectral data to be restored, and obtain the spectral data after dimensionality reduction;
[0036] In this embodiment, the spectral reflectance data obtained after dimensionality reduction can be expressed as M unequal one-dimensional spectral reflectance matrix that is r=[r 1 r 2 ... r M ] T
[0037] Its dimensionality reduction process is:
[0038] Get k mutually orthogonal unit basis vectors B i A linear combination of , namely:
[0039]
[0040] In the formula, B=[B 1 B 2 ...B k ] is the eigenvector matrix, a=[a 1 a 2 …a k ] T is the transformation matrix. Set M unequal one-dimensional spectral reflectance matrix r=[r 1 r ...
Embodiment 2
[0063] The difference between this embodiment and embodiment 1 is that the reconstructed spectral reflectance Can also be:
[0064]
[0065] In formula (8), A is the color matching function matrix, A=hsv, h is the tristimulus value parameter, s is the power distribution of the lighting source, and v is the observer matching function; is any sample signal value g to be tested 1 , to calculate the corresponding spectral reflectance; I is the identity matrix; t is the tristimulus value; w is the regularization parameter.
[0066] From formula (4), it can be obtained that when the existing R matrix method reconstructs the spectral reflectance, it needs to obtain the metameric black b and the basic stimulus spectrum r′, but the basic stimulus spectrum r′ needs to solve A T Due to the influence of specific lighting conditions, the process of solving the pseudo-inverse operation is unstable, and ill-conditioned equation solutions will be obtained, which will affect the accurac...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More