K11. Modified Hybrid Median filter for image denoising

摘要: A critical issue in image restoration is the problem of Gaussian noise removal while keeping integrity relevant information. Clinical magnetic resonance imaging (MRI) data normally corrupted by Rician from measurement process which reduces accuracy and reliability any automatic analysis. The quality ultrasound (US) degraded presence signal dependant known as speckle. It generally tends to reduce resolution contrast, thereby, degrade diagnostic this modality. For reasons, denoising methods are often applied increase the: Signal-to-Noise Ratio (SNR) improve quality. This paper proposes a statistical filter, modified version Hybrid Median filter for reduction, computes median diagonal elements mean diagonal, horizontal vertical moving window finally value two values will be new pixel value. results show that our proposed method outperforms classical implementation Mean, terms Comparison with well established methods, such Total Variation, Wavelet Wiener filters produces better results, preserving main structures details.