Contact
How to shop
Delivery
Shopping guide
Gaussian mixture model for Image Contrast Enhancement
English
94 b
Up to 30 days for returns
Customers also purchased
/
Hardback
120 532
Ft
/
Paperback
7 530
Ft
/
Hardback
46 713
Ft
/
Paperback
2 842
Ft
The objective of an image enhancement technique is to bring out hidden image details or to increase the contrast of an image with a low dynamic range. Such a technique produces an output image that subjectively looks better than the original image by increasing the gray-level differences (i.e., the contrast) among objects and background. Numerous enhancement techniques have been introduced, and these can be divided into three groups: 1) Techniques that decompose an image into high- and low-frequency signals for manipulation; 2) Transform-based techniques; and 3) Histogram modification techniques. Techniques in the first two groups often use multiscale analysis to decompose the image into different frequency bands and enhance its desired global and local frequencies. These techniques are computationally complex but enable global and local contrast enhancement simultaneously by transforming the signals in the appropriate bands or scales. Furthermore, they require appropriate parameter settings that might otherwise result in image degradations. For example, the center-surround Retinex algorithm was developed to attain lightness and color constancy for machine vision applications.
About the book
English
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Hardback
26 328
Ft
/
Paperback
6 517
Ft
/
Hardback
8 609
Ft
/
Paperback
11 955
Ft
/
Paperback
6 277
Ft
/
Paperback
4 034
Ft
/
Paperback
5 975
Ft
Hi! I'm Libroamiko, your book advisor.
How can I help you?