Quaternary logic is a four-valued logic. In quaternary logic, the gray level of the image is divided into more levels. This helps to increase the resolution and to decrease the quantization error of the image than that in binary logic representation. This improvement is very essential for improvement of target detection, medical imaging, weather monitoring, environmental change detection, planetary and astrophysical imaging and other fields. There are different image inversions in quaternary logic, which are shown in this work. Besides this, successful image transmission through the bandwidth limited channel is also revealed in this work. The comparative study of Peak-Signal-to-Noise Ratio (PSNR) of the received image in this work shows better performance compared to other similar works.


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    Title :

    Improved Image Processing in Quaternary Logic


    Contributors:


    Publication date :

    2018-07-01


    Size :

    4609544 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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