Fuzzy based super resolution multispectral image compression with improved SPIHT

Multi spectral images are of high resolution which requires a lot of memory to store and transmit. In order to overcome these limitations compression is applied wherein the fine details of the image will be lost due to the poor quality of image after compression. To reconstruct back the same resolut...

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Bibliographic Details
Main Authors: Raju, V. Bhagya, Sankar, K. Jaya, Naidu, C. D.
Format: Conference Proceeding
Language:English
Subjects:
Bismuth
Discrete cosine transforms
Discrete wavelet transforms
Fuzzy
Image coding
Image Compression
Image reconstruction
Image resolution
Integrated circuits
Super resolution
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Description
Summary:Multi spectral images are of high resolution which requires a lot of memory to store and transmit. In order to overcome these limitations compression is applied wherein the fine details of the image will be lost due to the poor quality of image after compression. To reconstruct back the same resolution with same quality involves the super resolution (SR) algorithms. In this paper a fuzzy rule based SR image reconstruction approach is proposed. For the performance evaluation the proposed methodology is been compared against existing algorithms and found that the proposed is yielding better results.
DOI:10.1109/ICCSP.2015.7322882