Contrast enhancement for cephalometric images using wavelet-based modified adaptive histogram equalization
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文摘
Repeated X-ray exposures may lead to cancer. Image enhancement methods can help avoid retakes and multiple exposures of the patients. Proposed algorithm uses biorthogonal spline wavelets to identify the pixels, which carry image information and discard the pixels in homogeneous regions while computing image histograms. This helps in reducing histogram spikes. The modified histogram is used with CLAHE and improves it overall performance.

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