Image Denoising, Deblurring and Object Tracking: A New Generation wavelet based approach

Binh, Nguyen Thanh, Khare, Ashish

ISBN 10: 3659391530 / ISBN 13: 9783659391538

Edité par LAP LAMBERT Academic Publishing, 2013

A propos de cet article

Like New.

N° de réf. du vendeur ERICA79636593915306

Détails bibliographiques

• Titre: Image Denoising, Deblurring and Object Tracking: A New Generation wavelet based approach
• Éditeur: LAP LAMBERT Academic Publishing
• Date de parution: 2013
• Langue: anglais
• ISBN à 10 chiffres: 3659391530
• ISBN à 13 chiffres: 9783659391538
• Reliure: Paperback
• État de l'article: Like New
• Type de livre: book

A propos de ce titre

Synopsis

Noise reduction is an important step for development of any sophisticated algorithms in computer vision and image processing. A tradeoff between the removed noise and the blur in the image always exists. The capability of the wavelets to give detail spatial-frequency information is the main reason for the use of wavelets. This property promises a possibility for better discrimination between the noise and the real data. Successful exploitation of the wavelet transform might reduce the blurring effect or even overcome it completely. Object tracking is a problem of estimating the positions and other relevant information of moving objects in the sequences of image video. The main difficulties in reliable tracking of moving objects include: rapid appearance changes caused by image noise and interaction between multiple objects. In a long sequence of image video, if the dynamics of the moving object is known, prediction can be made about the positions of the object in a particular frame. This information can be combined with the actual image observation to achieve more robust results. We have explored a possibility to use wavelet transform for object tracking.