Research On Error Resilience Technologies Based On The JPEG2000Image

In recent years, the huge advancement of science and technology has pushed us in the rapidly developing Internet Age, and there is a lot of information transmission in the form of the image, video in the network. However, due to the limited bandwidth of the transmission channel, we usually use some data compression techniques to reduce the amount of data transferred in the network. When comes with the image, we mainly achieve the purpose of compressed data by removing redundancy pixel space in the image. We gain a quite decrease in the bit rate by compressing data, anyway comes along with the correlation’s increasement between the data. If some of the import data bits which have great contributions on the value of the reconstructed image fault during transmission, it will cause a great negative impact on the decoding, even the original image may not be recoverable.The error technology research of the image has become the research focus of the image processing in recent years. The network transmission is affected by many factors of instability, and its environment is complex. When the sections of image data fault or lost, we still hope that the image data can be received and properly decoded, obtaining quite good visual effect. There are quite many types of error technologies suitable with variably network transmission environments; we should combine them with compression algorithm, using the corresponding solutions according to different source coding and channel-specific characteristics. In those methods, JPEG2000has many good features in the error resilience, providing a variety of techniques, and is considered to be an alternative option for JPEG image compression. Understanding the features of JPEG2000stream quality, I introduce you the LDPC (Low Density Parity Check) that has excellent anti-error performance and can be decoded simply in the channel coding. I’ve conducted many simulation experiments for the performance of LDPC codes. To protect the code stream I allocated the channel rate for LDPC codes with a recursive binary search algorithm, an UEP (Unequal Error Protection) method. With the unexpected code errors those are related to each other, i propose a solution overlap intertwined stream transmission with significant code. The simulation experiments of the program show that it does effectively improve the transmission reliability JPEG2000images without changing the code stream structure.