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Paper Details
Paper Title
Calculating Error for Compressed Image Trained By Neural Network
Authors
Neha Jaiswal, Ayub Khan
Abstract
- Uncompressed multimedia (graphics, audio and video) data requires considerable storage capacity and transmission bandwidth. There is rapid progress in processor speeds, mass-storage density and digital communication system performance in result demand for data-transmission bandwidth and data storage capacity continues to explore the capabilities of available technologies. The growth of data communication multimedia-based web applications has not only undergo the need for more efficient ways to data storage and digital communication technology.
Image compression presented by JPEG, H.26x and MPEG standards uses new technology like algorithms of neural networks are developed to seek the future of image coding. Successful applications of neural network algorithms have now well established and other involvement of neural network in technology is appreciable. In this paper we present the development of neural network training for image compression. Most popular way to show the power of neural network for image compression follows
(a) Selection of multi layered network
(b) Selection of methods for training process
(c) Test vector.
Based on these points network are trained and implemented.
In this paper an image has been trained in efficient multi-layered neural network and tested using MATLAB for error occurred in original image. Calculation of NMSE, SNR, PSNR, entropy and error using histogram is done in this paper.
Keywords- Neural Network, Image compression, MATLAB
Publication Details
Unique Identification Number - IJEDR1502084Page Number(s) - 447-450Pubished in - Volume 3 | Issue 2 | May 2015DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Neha Jaiswal, Ayub Khan, "Calculating Error for Compressed Image Trained By Neural Network", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 2, pp.447-450, May 2015, Available at :http://www.ijedr.org/papers/IJEDR1502084.pdf
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