What is the compression of the ripples?
Wave compression is a technique used to compress video and sound signals. It works best for compressing high -contrast images and short -term sound. Since video and audio files are often very large, compression is important because it allows you to share information via the network or sent by e -mail faster than the uncompressed file could be. Wavelet compression uses a process called Wavelet Transforms to collect the necessary file information. The resulting file can be either lossless, which means it is as good as original or loss, which means that some information has been lost.
For example, to squeeze photos using a wave compression, the whole image is considered a series of waves. The waves are changes from the pixel to the pixel, measured by the deviation of the individual pixel from zero. The distance of the deviation is recorded as a coefficient, an integer that measures a certain feature or characteristic. In this case, the coefficient measuring color pixel. The process of measurement andRecording of pixels coefficients is called wave transformation.
At this stage in the compression of the wave, there has been no compression. The picture has just been translated into a form with which the computer can work with. Instead of a color image, the computer now has a number of numbers. The next step in the compression of the wave is the process called decomposition.
During decomposition, the coefficients of neighboring pixels are diameter. Averaging produces a simplified version of the wool, which makes the description of the image smaller. This process is repeated until the image is fully compressed. The more the process is repeated, the smaller the data file can be and the faster the file will transmit.
The final size of the compressed file depends not only on the size of the original file, but also on the required finite product. Sometimes, when the file is decompressed, the information that the computer considers unnecessary is discarded so that the file can shrink. TOto is known as lossy compression and results in a set that is not as good as original.
Wavelet compression can also use a lossless method in which no information is discarded. The result is a compressed file that, when decompressing, is exactly the same quality as the original file. The compromise consists in the fact that the file compressed by the lossless method will be greater than one compressed by the loss of the method.