CANCELLED: Future Faculty Career Exploration Program Seminar: Speckle Image Denoising Methods
Unfortunately, this event has been cancelled. We apologize for the inconvenience!
Future Faculty Career Exploration Program
Speckle Image Denoising Methods Based on Total Variation and Non-local Means
Dr. Chartese D. Jones
California University of Pennsylvania
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Speckle noise occurs in a wide range of images due to sampling and digital degradation. Understanding how noise can be present in images have led to multiple denoising techniques. Most of these denoising techniques assume equal noise distribution. When the noise present in the image is not uniform, the resulting denoised image becomes of less than the highest standard or quality. The Non-local Means (NLM) filter restores every pixel in the original image by computing a weighted average of Non-local neighborhoods using a robust similarity measure. The NLM algorithm takes advantage of the high degree of redundancy of any natural image. Also, the NLM algorithm is very accurate since all pixels contribute for denoising at any given pixel. However, due to Non-local averaging, one major drawback is computational cost. For this research, we will discuss new denoising techniques based on NLM and total variation for images contaminated by speckle noise. We introduce blockwise and selective denoising methods based on NLM technique and Partial Differential Equations (PDEs) methods for total variation to enhance computational efficiency. Our PDE methods have shown to be very computational efficient and as mentioned before the NLM process is very accurate. We are wanting to combine these methods to show a more efficient and effective denoising method for speckle noise.
Dr. Jones received both his MS and Ph.D. at Mississippi State University. During his time there, he received the Graduate Teaching Assistantship Award for Mathematics and Statistics in 2017 and was also nominated for the Donald Zacharias Graduate Teaching Assistant Award, the highest teaching assistantship award at MSU, in 2019. Dr. Jones’ research has involved Ordinary Differential Equations (ODEs) used to find a master equation which could model the AB protein that causes Alzheimer’s. Dr. Jones is currently working at California University of Pennsylvania as a Frederick Douglass Institute (FDI) scholar and assistant professor.
Beginners, undergraduates, graduates. Those with interest in the topic.
This event is co-sponsored by The Office of Faculty Diversity and Recruitment
When and Where
Open to the Public