Research And Application On ROI Image Coding Based On JPEG2000 Standard

With the increasing use of multimedia technologies,image compression requires higher performance as well as new feature.The standard of JPEG2000 arises under such background.JPEG2000 is a new international standard approved by the Joint Photographic Experts Group for still image coding.It is not only intended to provide rate-distortion and subjective image quality performance superior to existing standards,but also to provide features and functionalities that current standards can not address efficiently and in many cases cannot address at all.The article first introduces the research background and the domestic and foreign research present situation of image compression code technology based on JPEG2000 at present,and analyses the extraction of regions of interest.Next research the principle and popular techniques of image compression,and analyses the frame-work of the JPEG2000.The research of ROI encoding and the extraction of ROI are mainly involved.I researched on methods of extraction of ROI,and proposed the extraction of ROI based on Differential operator and Human-Computer Interaction,then validated them by experiment.JPEG2000 supports two RO1 coding methods:the Maxshift method and the general scaling based method.The Maxshift method has the disadvantage of having to code all ROI regions prior to coding any part of the non-R01 region.On the other hand,the general scaling based method of JPEG2000 only supports rectangle and rotundity ROIs.The article researched on many improved algorithms base on this theory,and validated them by experiments.I proposed a method of image coding based on the golden section.First,extract ROI based on Differential operator and Human-Computer Interaction,produce the mask of ROI,and then magnify the coefficient based on the golden section.So the compression of ROI are better than background.The experimental results show that the method can code ROI excellent,and the quality of image is good.