The spread of pictures and photos accounts for a large proportion in social networks. Whether it is professional photographers or amateur photographers, whether it is travel, toys or street scenes, each picture has its own story and should be attention.
However, due to the large capacity of high-definition pictures, uploading high-definition pictures is a slow and painful process for high-cost or unstable connections, especially on mobile devices such as mobile phones.
Recently, Google has released a new image compression technology, which can really solve this problem. The image compression technology called RAISR (Rapid and Accurate Image Super-ResoluTIon) uses artificial intelligence to compress images to 25% without changing the quality of the image. The images before and after compression can be visualized. Almost impossible to distinguish.
The conventional image enlargement uses an interpolation method, and information on the inserted pixels can be obtained by collecting and combining the pixel information around the position to be inserted. Traditional algorithms can achieve fast processing because of the use of linear algorithms, but at the same time, the images obtained by interpolation are not good enough in detail (see the figure below).
(Source: Masa Ushioda/Seapics/Solent News)
The new image compression technology uses the artificial intelligence algorithm to give the machine autonomous learning how to create a suitable filter by giving the machine a large number of image data pairs before and after compression, so as to quickly and accurately generate the compressed image. According to official Google data, the new method not only compresses the image to 1/4, but also increases the speed by 10 to 100 times (based on the processing data of different images) compared to the current image compression technology, making it very suitable. App on the mobile device side.
(Compared before and after image compression, source: Google Blog)
As shown in the above figure, in fact, only 1/4 of the original image needs to be retained during storage, and the original image can be quickly and accurately restored by the artificial intelligence algorithm, thereby providing a more effective technique for cloud storage of the image.
Currently, Google is applying this technology to its social platform, Google+, which makes it easier and faster for people to share images on Google+, and the experience will increase. In addition, this technology has been applied to the image stream of the Android device cloud, which will greatly reduce the capacity of the image in the cloud space. We may expect that all mobile phones in the future can have unlimited cloud storage space like the pixel. .
TO-220 Transistor Outline Package is a type of in-line package often used in high-power transistors and small and medium-sized integrated circuits.
It not only plays the role of mounting, fixing, sealing, protecting the chip and enhancing the electrothermal performance, but also connects to the pins of the package shell with wires through the contacts on the chip, and these pins pass through the wires on the printed circuit board. Connect with other devices to realize the connection between the internal chip and the external circuit.Because the chip must be isolated from the outside world to prevent impurities in the air from corroding the chip circuit and causing electrical performance degradation. On the other hand, the packaged chip is also easier to install and transport.
TO-220 package is a kind of in-line package that is often used for fast recovery diodes. TO-220AC represents a single tube with only two pins and only one chip inside.
The diodes are packaged in TO-220AC and can be used in switch mode power supplies (SMPS), power factor correction (PFC), engine drives, photovoltaic inverters, uninterruptible power supplies, wind engines, train traction systems, electric vehicles and other fields.
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