Supporting software module
Video Image Processing and Analysis Module
Image Integrated Processing Module
Video format conversion module
Software module function
Video Processing and Analysis Module
It can process video in real time and save the processed video. It can collect interested frames continuously and save them as picture format frame by frame.
Openable file formats: AVI, MGEG and other video files; BMP, TIF, GIF, JPEG and other image files;
Play control:
A) Single frame forward and backward;
B) Can be played to the beginning and the end;
C) The playback speed can be adjusted manually.
D) Supporting circular playback;
E) It can play a certain segment of the video in a circular way.
Target stabilization, vector operation and super-resolution methods can be used to enhance video information automatically or manually by multi-frame fusion.
Multi-channel separation: separate the recorded multi-screen video files into single-channel video;
Testing:
(a) Frame difference detection, which calculates the brightness difference between adjacent frames in a movie;
B) Gradient detection, calculating the gradient difference of image pixels between adjacent frames;
C) Motion detection, detection of the motion of the input video, and output the contour image of the moving object;
D) Edge detection, calculating the boundary of the current frame;
Serial processing of multiple filters for video information includes gamma correction filters, edge-enhanced recorders, scaling filters, integral filters, shear filters, histogram equalization filters, motion blur filters, color filters and more than 20 kinds of filters.
De-noising:
(a) Multi-frame averaging: generating an image by adding the selected frames in the film sequence. It can remove the ambiguity caused by random noise very well.
B) Median filtering: This filter is used to remove those pixels whose pixel values deviate from the median. It is especially suitable for dealing with large amounts of noise. Median filtering does not blur the edges as mean filtering does, and it performs faster than total variation deblurring.
C) De-extremum: Remove false shapes in images caused by noise. The effect is to remove small bright spots or dark spots in the image, which are called speckle noise. In fact, this is a geometric process of minimizing total variance.
D) Other denoising methods: homomorphic filtering, Gauss filtering, maximum and minimum filtering, etc.
There are many kinds of filtering processes for video image: high-pass and low-pass filtering, mean filtering, median filtering, sharpening, etc.
Image Integrated Processing Module
Video image color separation in various forms: RGB, CYMK, CMY, HSV and other color separation;
Various kinds of non-linear color adjustment and mapping of video image, stepless adjustment of tone, saturation, etc.
Histogram equalization enhancement for video or image is carried out in various ways: global equalization, adjustable block equalization, column equalization, row equalization, etc.
Video image real-time brightness, contrast, image intensity smoothing adjustment, etc.
Automatic analysis of various acquisition sizes of video images, Gamma correction, color space conversion, etc.
Restoring blurred images caused by motion and defocusing is simple and effective, and correcting various distorted and deformed images.
Video format conversion module
It can decode all kinds of common surveillance video formats (MP4, 264, MPG, H64, DAV, etc.). It can capture interested frames continuously and save them as picture formats frame by frame.
Digital signal acquisition: It can decode all kinds of common compression formats, realize continuous acquisition of interested frames, and save them as picture formats frame by frame.