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Quality Enhancement of Low-Resolution Biomedical Images Using Multiwavelet Transform

( Vol-3,Issue-12,December 2016 ) OPEN ACCESS
Author(s):

Neha S. Deshmukh, Dr. Sanket B. Kasturiwala

Keywords:

Low Resolution image, Wavelet Transform Interpolation, Inverse Wavelet Transforms, High Resolution image.

Abstract:

The recent increase in the wide use of digital imaging technologies in consumer and other areas (e.g., security and military) has brought with it a simultaneous demand for higher-resolution images. The demand for such high-resolution (HR) images can be met by algorithmic advances in resolution enhancement technology intended with hardware development. Such HR images not only give the viewer a more pleasing picture but also offer additional details that are important for subsequent analysis in many applications. Therefore, a resolution enhancement (high resolution) approach using computational, mathematical, and statistical techniques has received a great deal of attention recently. One promising approach is to use Image-processing techniques to obtain an HR image (or sequence) from low- resolution (LR) image. The High resolution images are frequently required in biomedical applications, because the HR images provide the accurate spatial and intensity information for correct diagnosis. In this paper multi-wavelet transform and interpolation method are use for image resolution enhancement.

ijaers doi crossref DOI:

10.22161/ijaers/3.12.49

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