Estimation of Degradation and Restoration of Ultrasound Images with Wiener Filtering Techniques for Improving Diagnostic Accuracy

The paper proposes a new method for the restoration of ultrasound images. This framework enables systematic input image processing, characterization of the apparent distortion mechanisms, adding of the image speckle, and application of a Wiener filter. The procedure starts with capturing focused ultrasound images, followed by an appropriate functional approximation of the imaging degradation attributes caused by the ultrasound. Next, several degrees of speckle noise are incorporated to emulate the realistic conditions during imaging so that the impact of the success of the restoration technique can be evaluated in detail. Lastly, the Wiener filter is utilized to alleviate the disturbances and degradation processes so that the image has a fine resolution and detail. The system presented has several advantages over the traditional systems. The use of controlled amounts of composed speckle also made it possible to test noise furnishing techniques with improved performance in practical situations. Further even employing the Wiener filter in such circumstances optimizes the image noise and saturation, edges, and boundary delineation of the image objects. In conclusion, we can say that our method outshines others in terms of ultrasound image restoration by comparing parameters like PSNR, SNR, MSE, and quality index with conventional methods.