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Smart Dynamic Noise Reduction (SDNR)

In digital imaging devices usually the noise is more prominent in low light conditions as a result of higher noise output of the sensor at higher ISO sensitivities. So, one of the vital features of an IP camera is its ability to provide clear and noise-free output images in low light conditions. RedLeaf cameras use a complex algorithm named SDNR that performs signal processing on the fixed and moving parts of each frame as well as the objects in the foreground and background of the scene separately. This smart technology combines the results of 2D and 3D noise reduction signal processing which results in a crisp, blur-free and high quality image output.

‘Traditional’ and 2D DNR

Traditional DNR technology utilizes temporal noise reduction. This technique basically compares one frame to the next and removes any tiny specs in each frame that do not match. The idea is that by blending the frames, the overall noise content in an image is reduced.
Generally, traditional DNR only removes the noise and unwanted data found in the “front” of a scene. This means that only the objects in the foreground of the scene are processed to reduce the visual noise, and anything in the background remains unprocessed.
A good example of this is viewing a parking lot at night from a business. Objects that are closer to the camera, such as vehicles or people approaching the camera are “processed” to remove unwanted noise. Any object in the background is unprocessed for digital noise and appears noisy.
In 2D noise reduction technique the noise that can be found in low light images is removed. The benefit of 2D DNR is that the moving objects in the frame will have smooth edges and no motion blur will be present. However, the disadvantage is that you will have some grain noise in the whole frame especially in the still parts.

What’s Different About 3D DNR

3-Dimensional DNR takes traditional DNR technology a step further. Not only does 3D DNR handle the traditional frame-to-frame noise reduction, but it also incorporates spatial noise reduction.
Spatial noise reduction compares a pixel with its neighboring pixels to detect and remove unwanted noise found within the frame. It processes the entire image to remove digital artifacts and grainy appearance while better maintaining image clarity and sharpness.

Benefits of 3D DNR

3D DNR builds upon the benefits provided by standard DNR. First, 3D DNR delivers an even cleaner signal than DNR, resulting in greater disk space savings – so you can store much more video evidence on your NVR. Next, cameras equipped with 3D DNR technology deliver sharper, more accurate images, making it easier to identify suspects. Also, 3D DNR technology makes it easier for your camera to distinguish between true motion and image noise – allowing for your NVR to be more efficient in motion detection – especially in low light conditions.
The benefit of 3D DNR is that the overall noise of the image especially in the still parts is highly reduced and you have a very clear output image. However, the disadvantage is that the moving objects may have blurry edges as a result of 3D DNR.

SDNR Technology of RedLeaf Network Cameras

RedLeaf cameras benefit from SDNR technology which incorporates both traditional 2D and advanced 3D DNR algorithms simultaneously. The switching between these two types of DNR is done automatically depending on the conditions of the field of view of the camera which results in a noise-free and clear image under any conditions.

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