Intelligent Image Processing Theory And Its Application Research On Wireless Multimedia Service

Digital image processing is a multidisciplinary field which falldiverse aspects of optics, mathmatics, physics, physiology, computerscience, communication theory, signal analysis, control theory andsystem engineering, etc. Its aim is to satisfy the human visualperception or the requirements of practical application. Digital imageprocessing has been attracting much extensive and in-depth attention,and has been gradually applied to every field of society with varyingdegrees of success. Currently, the prompt development of Internet,wireless communication and multimedia technology brings on theincreasing demands of wireless multimedia, which causes digital imageprocessing unavoidably becomes one of the most active research field inthe wireless multimedia techniques. We mainly study how to applyintelligent techniques in this dissertation, including fuzzy logic,computer vision and psychophysics theory, to image processing, anddeeply discusses how to apply the proposed intelligent image processingtechniques to wireless multimedia service.Firstly, we study and discuss some image preprocessing techniquesin this dissertation, which are used to improve image quality throughimage filtering. By studying and analyzing the existing anisotropicdiffusion image smoothing techniques, we deduce that some of them areusually not able to process noisy images well, and even not stable.Moreover, all of them hardly consider the influence of the human visualsystem. To overcome these problems, we develop three modifiedanisotropic diffusion algorithms for image smoothing on the basis of thehuman visual system in this dissertation. The first algorithm makes useof the information offered by the visibility function in human vision;the second one improves the general root mean square contrast measuredmodel and utilizes its good suppression effect to noise;and the thirdone utilizes the selectivity of human vision. As for the fuzzy imagefiltering techniques, a fuzzy weighted average filter was developed byconsidering the degrees of compatibility between the neighboring pixelson the basis of the least square method and the algorithm proposed byChoi in this dissertation. Futhermore, we develop a new edge-sensitivityimage denoise algorithm through integrating visual perception andpsychophysics with fuzzy logic in this dissertation. The experimentresults show that all these methods are able to achieve a good effectin the respect of noise removal and edge preservation during the processof image preprocessing.Secondly, we study and discuss the issues of image quality assessmentin this dissertation. By assuming that an image is composed of edge,texture and smooth regions, and a different quality measure should beapplied to its corresponding region, we present three image qualityassessment factors, and develop a flexible fuzzy logic-based imagequality assessment approach in this dissertation.Thirdly, we study and discuss the techniques detailedly that are fitfor image transmission and storage in this dissertation, such as imagetransform and color quantization techniques. By considering theinfluence of visual perception and psychophysics to the interestingregions in the images, we develop a new fuzzy image interpolationalgorithm to resize the image in this dissertation. In addition, wepresent a fast fuzzy cluster-based color reduction algorithm in thisdissertation to compress image by considering the visual redundanc andthe good characteristics of data link.Lastly, we discuss how to apply the above-mentioned intelligentimage processing techniques to the wireless multimedia service in thisdissertation. To adapt to the development of multimedia messagingservice, this dissertation develops a image warping-based morphanimation generating mechanism, which can not only generate novel andhistrionic GIF animation in real time, but also make it easier thattransmits rich and colorful image files in the wireless network byrealizing adaptive image processing according to the differentcharacteristics of different mobile terminals.