Shared k-SVD dictionary-based DVS visual video denoising method
A dictionary and video technology, applied in the field of image processing, can solve problems such as fast denoising, time-consuming dictionary iterative update, etc., and achieve the effect of clear object outline, fast speed and fast denoising speed
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[0030] The present invention will be described in detail below with reference to the drawings and examples.
[0031] Reference figure 1 , The implementation steps of the present invention are as follows:
[0032] Step 1. Obtain the event stream of the dynamic vision sensor DVS.
[0033] 1a) Build a platform for dynamic vision sensor DVS:
[0034] 1a1) Connect the dynamic vision sensor DVS to the computer, open the FrontPanelUSB-DriverOnly-4.5.5.exe file in the FPGABoard Driver folder, and follow the prompts to install the dynamic vision sensor driver;
[0035] 1a2) Open the dynamic vision sensor test program GUI.exe in the GUI-Release folder, if the shooting scene can be displayed in the pop-up window, it means that it can work normally;
[0036] 1a3) Install commercial Microsoft Visual Studio 2013 software on the computer and configure Opencv3.0;
[0037] 1b) Use Microsoft Visual Studio 2013 to open DVS_record.sln in the DVS_record folder, and modify the event storage path DVS_EVENT_STO...
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