Images are soft copies of real world objects. Image can be represented in the area of digital processing, which can be said as another reproduction of an object. Basically Segmentation is one of the processes of partitioning a digital image into multiple regions and extracting meaningful regions for the future image analysis. The prime objective of this research work is to segment the abnormal HIV cells in blood using morphological operations. The boundary region of the HIV cells in blood is detected and segmented using different morphological operations. Finally Image Quality Assessment(IQA) has been carried out using various evaluation measures.

http://ieeexplore.ieee.org/iel7/7811903/7824784/07824805.pdf

A realistic medical image segmentation of abnormal HIV in blood cells using morphological operations

Image blur is difficult to avoid in many situations and can often ruin a photograph. Image deblurring and restoration is necessary in digital image processing. Image deblurring is a process, which is used to make pictures sharp and useful by using mathematical model. Image deblurring have wide applications from consumer photography, e.g., remove motion blur due to camera shake, to radar imaging and tomography, e.g., remove the effect of imaging system response. In this paper we propose a method for image deblurring and reconstruction of HDR images using transformation spread functions (TSFs), which is directly estimated from locally derived point spread functions (PSFs) by exploiting their relationship. We are also calculating the quality Measurement parameters of images.

/pdf/analysis-of-quality-measurement-parametersof-deblurred-35j3nna78v.pdf

Dejee Singh

Papers

Analysis of Quality Measurement Parametersof Deblurred Images