Dissertation > Excellent graduate degree dissertation topics show

Research on Color Interpolation and Image Sharpening Algorithms Based on Bayer Pattern Digital Image Sensors

Author: RenHao
Tutor: XieLei
School: Zhejiang University
Course: Information and Communication Engineering
Keywords: digital camera image sharpening color interpolation edge detection spatial filtering time-domain filtering
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 146
Quote: 1
Read: Download Dissertation

Abstract


In recent years, with the development of digital imaging technology, digital cameras and other digital products are becoming increasingly popular. This dissertation researches into the color interpolation algorithms and image sharpening for digital cameras.In order to get the full-color images, we need to calculate the other two missing color components by the pixels around the known pixels. Image sharpening is one of the basically ways to enhancee the edge of the image.Considering the character of the distribution of Bayer pattern image, this paper presents a new color interpolation algorithm method based on the bilinear and edge detection. A new color interpolation algorithm method is a step-by-step interpolation method that combines the green component and red & blue components to reconstruct color components. By using the image data characteristics, and the introduction of the triangle edge detection algorithm, the horizontal direction, vertical direction,45 degree and 135 degree directions are considered as image edge detection, not only the image edge detection can be effectively improved, but also the involved of the pixels number are reduced, the processing time is also be reduced.Considering the character of the image edge is not obvious, high-frequency components areweakened after the interpolation algorithms. A new sharpening algorithm method is proposed by which make full considered of the time domain characteristics of image based on edge detection. In a digital camera shooting images, select two successive frames of image, first, we need to take the dynamic testing by the sum of the absolute deviation of SAD, and using improved Sobel operator for edge detection, through the first two of the operation, the dynamic changes in the edge part are detected, then considering the current frame, using improved Laplace operator template, called the spatial filtering sharpening, for the no dynamic change edge portion, considering both the two frame, using the time domain filtering properties and the improved Laplace operator template called time-domain sharpening. The restored images are obvious improved in detail, edge and edge noise. At the same time, compared with the conventional sharpening algorithms, the proposed method has the advantages of low computational complexity.

Related Dissertations

  1. Research on Detecting Optical Fiber Geometric Parameter Based on Machine Vision,TN253
  2. Study on UAV Borne Dual Combination of Wide Angle Digital Camera Image Data Processing Methods,P231
  3. Research on Abnormal Vehicle Behavior Detection and Application in Traffic Video,TP391.41
  4. The Research and Development of the Bar Counting Based on Image Processing,TP391.41
  5. Line Extraction ,matching and Three-dimensional Reconstruction in Satellite Images,TP751
  6. Research and Realization of Image Denoising Based on Wavelet Transform,TP391.41
  7. Based on the difference between the pixel grayscale image denoising wavelet edge detection and combining adjacent to its,TP391.41
  8. Study on Road Extraction of High Resolution Polarimetric SAR Interferometry Data,TN957.52
  9. The Research of Edge Detection Based on Mathematical Morphology,TP391.41
  10. Detection Algorithms on the Surface Edge Defects of Galvanized Sheet Based on Digital Image,TP274
  11. Research of Multi-scale Edge Detection Based on Mathematical Morphology,TP391.41
  12. Study of Plate Thickness Measurement System with Laser Illumination,TN247
  13. Research on Vision Detection Algorithm for Tracing Printing System,TP391.41
  14. Research and Realization of Vehicle License Plate Location and Slant Correction,TP391.41
  15. Research on Image Segmentation Method Based on Measure of Medium Truth Degree,TP391.41
  16. Research on Noise Reducation and Color Interpolation Algorithms Based on Bayer Pattern Images for Digital Camera,TP391.41
  17. Research on Image Super-resolution Reconstruction Based on Non-local Similarity,TP391.41
  18. Research of Moving Object Detection Technology in Intelligent Transportation System,TP391.41
  19. Research of Image Segmentation in Web Image Search Based on GPUs,TP391.41
  20. Research of Laser Instrument to Automatically Sort Male and Female Silkworm Eggs,TP391.41
  21. Study on Blotch Detection and Restoration Algorithm for Digital Videos,TP391.41

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