Dissertation > Excellent graduate degree dissertation topics show

Image Denoising via Control of Curvature Continuity and Its Application

Author: DiJianTao
Tutor: YangXunNian
School: Zhejiang University
Course: Applied Mathematics
Keywords: Sharpening factor Scaling factor Median filter Anisotropic filtering Bilateral Filtering Homogeneous bilateral filtering Denoising Smooth The image surface model
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 72
Quote: 0
Read: Download Dissertation

Abstract


The Image Denoising is one of the fundamental problem in image processing, is the basis of many applications in image processing and computer vision. In this paper, the surface of the image A characterization of local image smoothing metric, to establish a new metric discrete surface noise-free image representation equation. Two new image denoising algorithm based on the noise image model and image local smoothness measure. This article both denoising algorithm can remove a variety of image noise, and effective to maintain the boundary information of the image, to prevent the contraction of the image gray value in the smoothing processing. The full text of the main include the following aspects: the first part, based on the the curvature continuous image denoising algorithm. The measure of image smoothness sharpening factor is defined based on the ratio of the the discrete normal curvature of the image surface, and distinguish image noise pixels based sharpening factor and non-noise pixels criteria. Finally, by sharpening factor calculation and standardization, and the use of noise-free image representation equation gives a curvature continuity control image denoising algorithm. The algorithm reconstruction from noisy data noise-free image, and thus a variety of image noise removal, also good to keep the details of the image characteristics. With the increase in the number of iterations, the algorithm, denoising results converge to a steady state, effective to prevent the gray value of the image contraction. The second part, the image of the homogeneous the bilateral filtering algorithms. Based on sharpening the image smoothing factor standard bilateral filtering to maintain the advantages of the boundary homogeneous bilateral filtering. Bilateral filtering linear prediction, homogeneous bilateral algorithm based on curvature continuity to predict noise pixel color values ??in the the same denoising parameters, the new algorithm can remove more substantial noise. The Homogeneous bilateral filtering can be multiple iterations of the filtering process to resolve bilateral filtering can not be many iterations. In addition, this new algorithm removing noise while maintaining the image more detail, and effective solution to the traditional bilateral filtering is easy to produce sub-block phenomenon. The third part of this paper the application of the two filtering methods. This paper presents two filtering algorithm used in the field of image interpolation and edge detection. The classic image interpolation algorithm bilinear interpolation and bicubic interpolation compared this algorithm is better to keep the original image details and effectively solve the the serrated problem of image interpolation algorithm. In the field of edge detection, we mainly on the original image filter pretreatment, and then use the canny operator to detect the boundary. Compared with the conventional pretreatment effect, this algorithm can be suppressed to a variety of noise and effective to maintain the boundary information of the original image.

Related Dissertations

  1. Research on Electromagnetic Acoustic Transducer Detection System Based on FPGA,TH878.2
  2. Research of High Speed Image Pre-processing System Based on FPGA,TP391.41
  3. Research on Methods of Medical Ultrasound Image Denoising,TP391.41
  4. Design of Testing Equipment for Electronic Products,TN06
  5. In Vitro Culture and Identification of Vascular Smooth Muscle Cells from Rat Intra- and Extracranial Arteries,R743.3
  6. The Boundedness of Toeplitz-type Integral Operator with Non-smooth Kernels,O177.6
  7. Effects of Dachengqi Decoction on the Expression Levels of Bcl-2 and Bax Gene of Smooth Muscle Cells of Small Intestine in Rat with Multiple Organ Dysfunction Syndrome,R285.5
  8. Effects of Receptor Activity Modifying Protein-1 Transplantation of Mesenchymal Stem Cells on Postangioplasty Restenosis and Cardiac Function after Myocardial Infarction in Rabbits,R542.22
  9. Cyclovirobuxine D on gastrointestinal smooth muscle contractility regulate research,R965
  10. Regulation of drugs on the Role of body balance,R96
  11. Research on Contourlet Transform and Its Application on Image Processing,TP391.41
  12. Wavelets-based Signal Sparse Representation and Its Application in Image Denoising,TP391.41
  13. A Study of Some Analysis Properties for Fractal Interpolation Functions,O174.42
  14. Research on Methods of Image Processing of the Image Information Processor,TP391.41
  15. Research on Noise Reducation and Color Interpolation Algorithms Based on Bayer Pattern Images for Digital Camera,TP391.41
  16. Research on Regression-based Super-Resolution Image Reconstruction Technique,TP391.41
  17. Research on Image Denoising Algorithm in Machine Vision System,TP391.41
  18. The Role of HA and CD 44 in the Airway Remodeling of Chronic Asthmatic Rat Model,R562.25
  19. Design and Implementation of Lung Sound Analysis System Based on Virtual Instrument,TP274
  20. Migration of VSMC and SPC by Expression of Sdf-1αin VSMC on the Effect of ox-LDL,R363
  21. Heterogeneity of Mitochondria in Systemic and Pulmonary Vascular Smooth Muscle Cells,R363

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile