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Image Compression using Neural Networks & Wavelet Transforms

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Image Compression using Neural Networks & Wavelet Transforms SAURABH JAIN
Koda Libristo: 33398163
Založba LAP Lambert Academic Publishing, oktober 2020
Compression provides a means of reducing storage costs and increases the rate of transmission. Image... Celoten opis
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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.

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O knjigi

Polni naslov Image Compression using Neural Networks & Wavelet Transforms
Avtor SAURABH JAIN
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2020
Število strani 80
EAN 9786202918671
ISBN 6202918675
Koda Libristo 33398163
Teža 127
Mere 152 x 229 x 5
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