The main method of compressing data in B-mode ultrasound is to eliminate redundant data mining.From the point of view of mathematics,the original B-ultrasound image of beast is transformed into a data set that is as irrelevant as possible from the statistical point of view.
The conversion takes place before storing,processing and transmitting the B-mode ultrasound images,and after that,the compressed images need to be decompressed to reconstruct the original image or its approximate image.Image compression and image decompression are problems to be solved in image coding,which are often referred to as image coding and image decoding,respectively.
According to the fidelity of the animal b ultrasound original image, the image compression method can be divided into two categories: information preservation type and information loss type. Information saving is often used in image archiving, and there is no loss of information during compression and decompression.
Current technology can provide compression ratio generally in the range of 2-10.The information loss type can often obtain a high compression ratio,but the image can not be decompressed to restore the original state after compression,so it can only be used in certain information loss applications.There are many compression techniques which can be used for information saving compression and information loss compression.
Therefore,we can not simply according to the loss of information to distinguish all compression technologies.In addition,a kind of method called quasi-lossless B-mode ultrasound image compression has been paid more and more attention in recent years.