Principal Component Analysis Based Hybrid Speckle Noise Reduction Technique for Medical Ultrasound Imaging

Subspace-based technique for speckle noise reduction in ultrasound images

BACKGROUND AND PURPOSE Ultrasound imaging is a very essential technique in medical diagnosis due to its being safe, economical and non-invasive nature. Despite its popularity, the US images, however, are corrupted with speckle noise, which reduces US images qualities, hampering image interpretation and processing stage. Hence, there are many efforts made by researches to formulate various despe...

Speckle Noise Reduction in Medical Ultrasound Images

Speckle Noise Reduction in Medical Ultrasound Images

Ultrasound imaging is an incontestable vital tool for diagnosis, it provides in non-invasive manner the internal structure of the body to detect eventually diseases or abnormalities tissues. Unfortunately, the presence of speckle noise in these images affects edges and fine details which limit the contrast resolution and make diagnostic more difficult. In this paper, we propose a denoising appr...

Speckle Noise Reduction in Ultrasound Images using Fuzzy Shrinking Technique

An ultrasound image provides the radiologist with noninvasive, low cost, and real-time images that can help them in diagnosis, planning and therapy. However low PSNR (picture signal to noise ratio) in ultrasound images causes difficulties in correct interpretation of ultrasound images. Further speckle noise present in ultrasound images is considered to be the major cause of its low PSNR. In thi...

Medical Ultrasound Image Speckle Noise Reduction by Adaptive Median Filter

Medical ultrasound is a powerful nonivasive diagnostics tool. Due to physical factors of the diagnostics system, ultrasound generated images usually contain some noise where specle noise is often a prominent component. In this paper we propose an adaptive median filter with adaptive window size for removing speckle noise from ultrasound medical images, including the case when spots are larger t...