抽象的な

Development of Denoising Methodologies for Enhancement of Sensitivity in Radiographic Images

M.Aarthi L.K. Hema

In digital industrial radiography, image quality is a measure of the effectiveness with which non-destructive examination may be made. It is usually evaluated on the basis of three measures of imaging performance, namely: spatial resolution, contrast, and noise. Other factors considered are the effect of amount of radiation on the image quality, as well as the occurrence of artifacts. Since the introduction of digital technology to radiography has many benefits but the one which is probably the most important is the ability to image processing. Image processing gives Computed Radiography (CR) a considerable advantage over film-screen systems. The role of image processing is crucial in improving the visual quality of the CR image in terms of spatial resolution, sharpness, contrast resolution, dynamic range, SNR. Image processing efforts maximizes the information extraction from the images. In this paper, it is proposed to acquire the computed radiographic images and evaluate the image quality of the images. It is proposed to carry out a systematic study on the various image processing tools that can be applied for improving the image quality of radiographic images. It also being planned to develop a set of image processing tools, which would be appropriate to extract information and features from the given radiographic images.