Method and device for enhancing visual characteristics of imaging system
A technology of visual characteristics and imaging system, applied in image signal generators, color signal processing circuits, etc., can solve problems such as unsatisfactory mapping and unsatisfactory display effects, achieve fast computing speed, easy implementation, and reduce storage resource consumption Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0064] Such as figure 1 As shown, the signal source provides an analog signal, and after the AD acquisition module 1, it is converted into a digital signal and enters the next module. After performing signal processing such as FIR and FFT in the signal processing and imaging module 2, it enters the next module. In the logarithmic processing module 3, after taking approximate logarithms to meet the visual characteristics of the human eye, and then taking the maximum value and other operations to strengthen the relative strength of the signal, enter the next module. In the function fitting module 4, the conversion of the signal level to RGB is mainly realized. Finally, through the LCD display module 5, the processed RGB imaging data is sent to the LCD screen for display and imaging. The data cached in the above modules is read and written in the storage module 8 .
[0065] The function completed by the AD acquisition module 1 is to convert the analog signal provided by the fr...
Embodiment 2
[0098] Embodiment 2: Different from Embodiment 1, in the first step, the error is reduced by the following simple and effective compensation method with small error:
[0099] Method 2: when x r When ≥L / 2, use the straight line s=dx r +e method for linear fitting. Where d, e are coefficients and d≠0, s is x r The corresponding function value in the range of ≥L / 2. when x r When -n (n is a positive integer) The fitting method of segmenting the signal strength one by one is close to the ideal operation curve. Such as Figure 8-12 shown. Among them, the solid line is the ideal ideal operation curve, and the dashed line is 2 -n Segmental approximation and linear compensation fitting curve, dotted line is linear segmental fitting curve, dotted circle line is 2 -n Fitting the curve piecewise.
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 