Publication Type : Conference Proceedings
Publisher : 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE
Source : 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE (2019)
Url : https://ieeexplore.ieee.org/abstract/document/8944503
Keywords : 3D processing, convention lossless compression techniques, Data compression, Discrete cosine transforms, Discrete cosine-transforms, fractal image processing, Fractals, hyperspectral analysis, hyperspectral based techniques, hyperspectral images high compression ratio, Hyperspectral imaging, Image coding, Image compression, Modified DCT-discrete cosine transformation based image compression, modified fractal DCT model(mod-DCT), near-infrared wavelength regions, Quantization (signal), technique based system engenders narrow band, wavelength 390.0 nm to 700.0 nm, Wavelet domain, Wavelet transforms
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2019
Abstract : Hyperspectral imaging is a technique in which the information is collecting and processing across an electromagnetic spectrum. Fractal Image Processing deals with various dimensions of an image. Hyperspectral analysis are applied on multiple frequency bands of images, and produces spatial and spectral information. HSI can elongate 390 to 700 nm i.e UV to infrared and near-infrared wavelength regions. This technique based system engenders narrow band(<; 390 to 700 nm>) images of different wavelengths. By utilizing HIS, visualization can be elongated to invisible wavelengths. Hyperspectral based techniques have applications in various fields such as medical diagnosis, agriculture, food processing, remote sensing etc. In this project, the compression of hyperspectral images is considered. Present work involves Modified DCT-Discrete Cosine Transformation based image compression. Compared with the convention lossless compression techniques of the benchmark multi-component and hyperspectral (JPEG2000), the MOD-DCT lossless algorithm produces considerable reduce in compressed file size for beyond visible range. After implementation of Modified DCT for hyperspectral images high compression ratio was achieved.
Cite this Research Publication : Dr. Tripty Singh and Babu, T., “Fractal Image Processing and Analysis for Compression of Hyperspectral Images”, 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2019.