QUALITY MEASURE OF THE COMPRESSED ECHO, X-RAY AND CT IMAGES
| Autor: | Rajani Gupta, P. P. Bansod, R. S. Gamad |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Cross-correlation
business.industry Lossy compression Computer Graphics and Computer-Aided Design Peak signal-to-noise ratio Computer Science Applications Set partitioning in hierarchical trees Wavelet Compression (functional analysis) Compression ratio Discrete cosine transform Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Mathematics |
| Zdroj: | International Journal of Image and Graphics. 13:1350006 |
| ISSN: | 1793-6756 0219-4678 |
| Popis: | The paper reveals the analysis of the compression quality of true color medical images of echocardiogram (ECHO), X-radiation (X-ray) and computed tomography (CT) and further a comparison of compressed biomedical images of various sizes using two lossy compression techniques, set partitioning in hierarchical trees (SPIHT) and discrete cosine transform (DCT) to the original image is carried out. The study also evaluates the results after analyzing various objective parameters associated with the image. The objective of this analysis is to exhibits the effect of compression ratio on absolute average difference (AAD), cross correlation (CC), image fidelity (IF), mean square error (MSE), peak signal to noise ratio (PSNR) and structural similarity index measurement (SSIM) of the compressed image by SPIHT and DCT compression techniques. The results signify that the quality of the compressed image depends on resolution of the underlying structure where CT is found to be better than other image modalities. The X-ray compression results are equivalent by both the techniques. The compression results for large size biomedical images by SPIHT signifies that ECHO having comparable results to CT and X-ray while their DCT results are substandard. The compression results for comparatively smaller images of ECHO are not as good as X-ray and CT by both the compression techniques. The quality measurement of the compressed image has been designed using MATLAB. |
| Databáze: | OpenAIRE |
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