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Erschienen in:
Realization of Bandpass Filter Based on Spoof Surface Plasmon Polariton Technique at Microwave Frequency Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Medical and Color Image Compression with Fractal Quadtree with Huffman Coding for Different Threshold Values

verfasst von : Sandhya Kadam, Vijay Rathod

Erschienen in: Computing, Communication and Signal Processing

Verlag: Springer Singapore

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Abstract

Fractal Image Compression (FIC) is characterized by long encoding time and high Compression Ratio (CR). Further, as medical images being voluminous, a high CR is required to reduce the storage space. Fractal Image compression adopts affine transforms. In view of this, the present paper aims in providing an implementation of a hybrid approach by combining Quadtree fractal with Huffman coding with different threshold values and a comparative analysis of the different types of input images such as color as well as different modalities of medical images as MRI and X-ray to achieve high CR by still retaining the quality of the image. The implementation is carried out and results are obtained using MATLAB. The performance parameters as encoding time, compression ratio PSNR, and decoding time are compared. The results have shown that with an increase in threshold value, CR increases with a decrease in image quality for color as well as medical images.

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Vorheriges Kapitel Underwater Image Enhancement by Rayleigh Stretching with Adaptive Scale Parameter and Energy Correction
Nächstes Kapitel A Novel Method to Detect Fovea from Color Fundus Images
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Metadaten
Titel
Medical and Color Image Compression with Fractal Quadtree with Huffman Coding for Different Threshold Values
verfasst von
Sandhya Kadam
Vijay Rathod
Copyright-Jahr
2019
Verlag
Springer Singapore
Buch
Computing, Communication and Signal Processing

Print ISBN: 978-981-13-1512-1

Electronic ISBN: 978-981-13-1513-8

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-981-13-1513-8_96

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