When you are browsing some science and information websites or video-related articles, you may see the term "dynamic noise reduction," but you may not know the meaning and purpose of this term. This article will give you an introduction to it and provide some types of dynamic noise reduction, like spatial reduction and temporal noise reduction.
Now, you can read this short article to understand dynamic noise reduction quickly.
First, dynamic noise reduction is the process of reducing or removing unnecessary noise from signals like images and videos. Noise is the redundant changes in images or videos, which will affect their quality and definition. Many things, including low light, high ISO, compression, transmission, and sensor flaws, can produce noise. Therefore, it is very important to do dynamic noise reduction for screens and videos.
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There are three types of noise reduction for your screen.
The first type is to depend on spatial noise reduction. This method can reduce the noise by comparing and filtering one signal frame or the pixels of images. Then, it can also be divided into 2D noise reduction and 3D noise reduction. The former can deal with signal frames or pixels, while the latter can process and filter multi-frames and pixels.
The second one is to use temporal noise reduction. This way is based on the time relevance and continuity to remove or decrease the noise. FRC and motion estimation and compensation (MEC) are two further categories into which temporal noise reduction can be subdivided. Though MEC reduces noise by estimating and adjusting for the motion of the objects or sceneries in the frames or images, FRC decreases noise by varying the number of frames or images per second.
The third one is frequency noise reduction: This method reduces noise by converting and filtering the signal from the airspace or time domain to the frequency domain according to the frequency spectrum and distribution of the noise and signal. Frequency noise reduction can be further divided into discrete cosine transform (DCT) and wavelet transform (WT). DCT reduces noise by transforming and filtering the signal using the cosine function, while WT reduces noise by transforming and filtering the signal using the wavelet function.
There are some advantages of dynamic noise reduction. The visual quality and performance of the display screen and content can be improved after reducing the noise on images or videos. For example, it can help you enhance the contrast ratio, brightness, color, and definition of images and videos, as well as increase the resolution, frame rate, and dynamic range while decreasing artifacts, flickering, and blurring.
In addition, dynamic noise reduction can also reduce the need for bandwidth and storage through encoding and compressing the signal more successfully and efficiently, decreasing the bit rate, file size, and transmission time and raising the compatibility, quality, and compression ratio. As a result, it can help extend the device's durability and battery life.
In a word, this article has talked about what is dynamic noise reduction and provides three types of noise reduction. It is believed that you have a better understanding of this term. You can share this article on your social media to help more people in need to know about it.
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