Poisson noise reduction from X-ray medical images using modified Harris operator and wavelet domain thresholding

X-rays with photon having wavelength below 0.2-0.1 nm are generally used to produce X-ray images due to their high penetration ability. But photon counting statistics follows Poisson noise distribution which degrades quality of medical data (X-ray) represented by photon images. This Poisson noise can be reduced by increasing the dose of X-ray for production of X-ray image but it will harm patient body. In this paper, modified Harris operator along with wavelet domain thresholding is proposed for X-ray image denoising. Harris operator finds the pixels in image having more intensity variation compare to neighboring pixels, such pixels can be called as noisy pixels. We compare our denoised results with other denoising techniques and found significant improvement in result.