• Anglický jazyk

Gaussian De-Noising Techniques

Autor: Nora Youssef

Image de-noising is the elimination of noise from digital images where noise is any undesired information that corrupts an image. De-nosing is achieved through various filtering techniques that not only enhance the image but also keeps all its important... Viac o knihe

Na objednávku, dodanie 2-4 týždne

36.99 €

bežná cena: 41.10 €

O knihe

Image de-noising is the elimination of noise from digital images where noise is any undesired information that corrupts an image. De-nosing is achieved through various filtering techniques that not only enhance the image but also keeps all its important details. De-noising filters are categorized into linear and non-linear techniques. You will see the most popular image quality assessment metrics such as PNSR, MSE and SSIM. In addition, highlights on recent de-noising literature since 2010 up to 2014. The technical part of this book presents applying Gaussian de-noising algorithms in spatial domain for medical images. Actually, five de-noising techniques (Geometric, Harmonic, Alpha-trimmed, midpoint and local noise reduction filters) are developed on gray scale medical images which are corrupted by additive Gaussian noise with mean = 0, variance = 1000. Analysis has been done for the de-nosing techniques in terms of MSE and PSNR for image quality assessment and time complexity for performance assessment.

  • Vydavateľstvo: LAP LAMBERT Academic Publishing
  • Rok vydania: 2015
  • Formát: Paperback
  • Rozmer: 220 x 150 mm
  • Jazyk: Anglický jazyk
  • ISBN: 9783659495700

Generuje redakčný systém BUXUS CMS spoločnosti ui42.