“One child, one teacher, one book, and one pen can change the world.” – Malala Yousafzai
“None of us got where we are solely by pulling ourselves up by our bootstraps. We got here because somebody — a parent, a teacher, an Ivy League crony, or a few nuns — bent down and helped us pick up our boots.” – Thurgood Marshall
“Go into the world and do well. But more importantly, go into the world and do good.” – Minor Myers
Image Processing Compression and Reconstruction by Using New Approach Artific...CSCJournals
In this paper a neural network based image compression method is presented. Neural networks offer the potential for providing a novel solution to the problem of data compression by its ability to generate an internal data representation. This network, which is an application of back propagation network, accepts a large amount of image data, compresses it for storage or transmission, and subsequently restores it when desired. A new approach for reducing training time by reconstructing representative vectors has also been proposed. Performance of the network has been evaluated using some standard real world images. It is shown that the development architecture and training algorithm provide high compression ratio and low distortion while maintaining the ability to generalize and is very robust as well.
In this 2015 presentation, the focus is placed firmly on the concept of product stewardship and the advantages to organisations who pursue product stewardship certification.
“One child, one teacher, one book, and one pen can change the world.” – Malala Yousafzai
“None of us got where we are solely by pulling ourselves up by our bootstraps. We got here because somebody — a parent, a teacher, an Ivy League crony, or a few nuns — bent down and helped us pick up our boots.” – Thurgood Marshall
“Go into the world and do well. But more importantly, go into the world and do good.” – Minor Myers
Image Processing Compression and Reconstruction by Using New Approach Artific...CSCJournals
In this paper a neural network based image compression method is presented. Neural networks offer the potential for providing a novel solution to the problem of data compression by its ability to generate an internal data representation. This network, which is an application of back propagation network, accepts a large amount of image data, compresses it for storage or transmission, and subsequently restores it when desired. A new approach for reducing training time by reconstructing representative vectors has also been proposed. Performance of the network has been evaluated using some standard real world images. It is shown that the development architecture and training algorithm provide high compression ratio and low distortion while maintaining the ability to generalize and is very robust as well.
In this 2015 presentation, the focus is placed firmly on the concept of product stewardship and the advantages to organisations who pursue product stewardship certification.