
Image Compression using Neural Networks & Wavelet Transforms
LAP Lambert Academic Publishing
Published on 7. October 2020
Book
Paperback/Softback
80 pages
978-620-2-91867-1 (ISBN)
Description
Compression provides a means of reducing storage costs and increases the rate of transmission. Image compression reduces the size of graphic images without reducing image quality. Image performance is calculated using certain parameters such as PSNR (peak signal to noise ratio), CR (compression ratio), MSE (mean square error), and (BPP) per pixel bit. Mean Square error is a network performance parameter, it deals the network's Performance according to the mean of squared errors. The Peak signal to noise ratio is generally used for quality comparison between the original image and a compressed image. The Peak Signal to Noise Ratio and Mean Square Error are the two error parameters used to measure image compression quality. The MSE shows the growing squared error among the original image and compressed, and PSNR shows a calculation of the peak error. The lesser the value of Mean Square Error will reduce the error. The compression ratio (CR) is the ratio of compressed image compared to uncompressed image size. The bits per pixel (BPP) value will fluctuate for different images and different quality of images.
More details
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 6 mm
Weight
137 gr
ISBN-13
978-620-2-91867-1 (9786202918671)
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Schweitzer Classification
Persons
Mr. Saurabh Jain- M. Tech (NIT Bhopal M.P .India)PhD* (University of Petroleum and Energy Studies, Dehradun, India.) Assistant Professor (University of Petroleum and Energy Studies, Dehradun, India.)Mrs. Prachi Jain- M. Tech (RGPV University M.P. India)