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The brain is one of the vital organ of the body where it is the custodian of the involuntary and voluntary actions like walking, vision, memory. Now a days the most common brain disorders are Alzheimer's disease, Epilepsy (paralysis or stroke), tumors, brain tumors. Early diagnosis and proper treatment of brain tumors is required. The Computer Aided Diagnostic tools (CAD) can be used by the doctor...
Removal of noise is an important criterion of image processing to improve the quality of an image. There are many unwanted elements present in image which are commonly known as noise that should be removed from an image for any further processing. Mean and Median filter are normally used to reduce noise present in an image and for preserving useful detail in the image. Adaptive filtering is more selective...
Intensive Care Unit is extremely useful for providing health care to critically ill patients for their speedy recovery. An Intensive Care Unit (ICU) consists of multiple life saving machines which are continuously recording vital organs of patients and generating vast data at very high frequency. A context aware based real time monitoring system is extremely useful in the modern era of bio-medical...
In this paper, we propose a compression artifact reduction algorithm based on nu support vector regression. It belongs to the broad family of regularized reconstruction methods but regularization model is learned from a set of training samples of original images and corresponding noise corrupted version. As opposed to artifact reduction methods specific to each type of compression artifact (e.g. blocking,...
This paper proposes the application of learned kernels in support vector regression to superresolution in the discrete cosine transform (DCT) domain. Though previous works involve kernel learning, their problem formulation is examined to reformulate the semi-definite programming problem of finding the optimal kernel matrix. For the particular application to superresolution, downsampling properties...
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