Many consumers have upgraded their home TVs to HDTVs. People expect HDTV to provide them with beautiful HD images, and their viewing experience will change forever. This can be done in some cases, such as watching a movie on a Blu-ray disc. However, in real life, most of the content comes from cable, satellite, broadcast and Internet resources. These images often contain a lot of noise, which is very obvious in HDTV. In addition, most of the content is still SD, which relies on high-quality scaling and resolution enhancement algorithms to achieve high-definition images. In this article, we will discuss two image processing technologies using the HQV Vida processor to provide consumers with the HD TV experience they expect.
Noise reduction
There are three common types of noise in video: random noise, block noise, and mosquito noise. As shown in Figure 1, we will later use the HQV processor to remove the effects of these noises.
Random noise is often found in video that is distributed in an analog format. It is also often found in video captured with noise sensors or in low light conditions. Film grain is another type of random noise. This type of particle noise is a random motion pattern, so it can be distracting when it appears in a video image. The image processor needs to be very careful in determining random noise so that it is not confused with small moving elements such as rain, fog or smoke in the image. These can be done with the HQV Vida processor by tracking the moving elements on several frames to see if they have a reasonable motion vector. Elements that do not have a random motion pattern can be eliminated as noise. These noise reduction processes are adaptable because they only apply to noise pixels in the image. In this way, the details in the image are preserved, like the low-process image shown in Figure 1.
Block noise and mosquito noise occur mainly due to excessive compression of digital video. In its non-fully compressed state, full HD video has approximately 3.7 Gbps of bandwidth, while standard definition video has approximately 620 Mbps of bandwidth. Both are large and not suitable for distribution to consumers. Fortunately, the MPEG compression algorithm is very powerful, reducing bandwidth to a small amount without significant loss of quality. In general, you can compress HD to 9Mbps, or compress SD to 4Mbps without significantly affecting quality. However, block noise and mosquito noise distortion are beginning to appear. When operators compress many channels into a fixed bandwidth channel, they can usually use lower bit rates in cable and satellite TV. Often non-core channels and off-peak programming are the most lost. A large amount of video content can now be viewed on the Internet, and there are many ways to stream this type of video to a high-definition TV in a consumer's home. However, many Internet connections are below the 1Mbps bandwidth peak, far below the 4Mbps sustained bandwidth required to achieve high-quality SD programming because Internet video typically has a lot of block noise and mosquito noise distortion.
As the name suggests, block distortion will cause some of the image to be split into small blocks as shown in Figure 1(b) above. Since the MPEG algorithm splits the image before compression, a block is generated. When the compression is too high (the bit rate is too low), some of the information of the block is lost and the reconstructed image has a boundary. This is especially true when the video contains fast moving parts.
Mosquito noise is a very slender noise that often appears on the edges of objects with a flat background. It often appears around the contours of people, so it's like a mosquito screaming around. Mosquito noise occurs when the bit rate is too low and the mathematical compression algorithm does not have enough information to reconstruct the original image.
The HQV Vida processor includes powerful algorithms to remove block noise and mosquito noise distortion. It can detect borders and mosquito noise in any image, even those that were previously scaled. The Vida processor only corrects the boundaries, reduces block distortion, and only performs adaptive mosquito noise reduction in the noise region to clean the image while preserving image detail.
Resolution enhancement
Most video content now uses SD resolution, and a lot of Internet content uses even lower resolution. In order to convert these video sources into high definition formats, a high quality scaling engine is required. Although these images have the same pixels as the native HD material, the details are different. This requires the resolution enhancement engine of the HQV Vida processor. By adaptively enhancing the edges of the image, the Vida algorithm can make up-converted SD material look close to HD material. We can clearly see this effect in Figure 2 below. The HQV processed image clearly has more detail and higher resolution, which can be clearly seen from the moss on the trunk.
Carefully use the resolution enhancement algorithm so that you can enhance it only on edges that need to be enhanced or not sharp enough, or in progressive areas of the image. Resolution enhancements can also be used for HD video to make its details look sharper.
Consumers using low-quality video sources are likely to be disappointed with the performance of their HDTVs, and in some cases they think the old CRT TVs look better. The HQV Vida processor cleans the noise of low quality video and increases the high resolution of the converted image. There are other algorithms that can improve the color and contrast of the video source, giving consumers a truly superior HDTV experience.
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The name of wireless router can be separated out of two keywords: wireless and routing. Understand the technical principle behind these two words, you understand the wireless router.
Wireless is also what we often call Wi-Fi. Wireless routers can convert home broadband from wired to wireless signals, and all devices can happily surf the Internet as long as they connect to their own Wi-Fi. In addition, these devices also form a wireless local area network, where local data is exchanged at high speed and is not limited by the bandwidth of home broadband.
For example, many people have smart speakers in their homes that can be used to control various smart appliances. When you say small X small X, turn on the TV, the speaker actually finds the TV through the LAN and sends instructions, and does not need to connect to the Internet; And if you let it broadcast news, you have to get data through the Internet.
The Local Area Network we talked about earlier, also known as the Intranet, is represented by the Local Area Network (LAN) on the router, so the Wi-Fi signal is also called WLAN(Wireless LAN); The Internet we want to access, also known as the extranet, is represented on the router by the WAN(Wide Area Network).
On the Intranet, the IP address of each device is different, which is called a private address. All devices on the Internet share the same public address, which is assigned by broadband operators such as China Telecom Unicom.
The router is the bridge between the Intranet and the external network. The above mentioned IP address translation, packet forwarding, is the router routing function.
In other words, the router is the hub of the home network, and the data of all the devices must be forwarded through it to access each other or reach the external network, which means that one husband is the key and ten thousand men are not open, so the comprehensive router is also called "home gateway".
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Shenzhen MovingComm Technology Co., Ltd. , https://www.szmovingcomm.com