Dissertation > Excellent graduate degree dissertation topics show

Research on Content-Aware Image Resizing Based on Seam Carving

Author: PengGuoQin
Tutor: XuDan
School: Yunnan University
Course: Computer Software and Theory
Keywords: Image scaling Content-aware Line Clipping Multiple operating Saliency map
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 86
Quote: 0
Read: Download Dissertation

Abstract


Image scaling is a digital image processing technology, especially the rapid development of information technology, the endless stream of various electronic products, they have a different resolution and aspect ratio, when people transfer images between these electronic products how to meet these different resolution and aspect ratio of the display medium, achieve the the visual body maintain user attention deformed image scaling? Therefore, it is a new and higher requirements for image scaling, better digital entertainment experience effect. Recent years become a hot topic, people are trying to maintain visual body image in the scaling process relatively deformed, content-aware image scaling, image scaling technology for different applications. Paper-based line cutting operation of image scaling technology base on combined based on visual substantially with the diagram and the gradient line clipping algorithm and based on the line cutting the multi-operating scaling algorithm, and on the basis of multi-operation proposed a chosen by the user most satisfactory scaling interactive image scaling. The main contribution of the paper are: (1) the original line clipping algorithm using only gradient measure as the energy map of the image can not maintain the integrity of the main visual image, this paper, based on gradient calculation and visual significant Figure combining image energy diagram calculation method. (2) Line Clipping image scaling method optimized by the search energy costs and the smallest pixel path as the cutting line, it is only to consider the energy of the cutting line, and did not consider the energy introduced to remove the cutting line, so the proposed forward energy standard, both consider the energy of the cutting line, consider deleting or insert the cutting line and the introduction of energy. (3) by a line cutting, unified scaling and cutting operations distortion caused by the user to learn, found most unacceptable distortion caused by line cutting operation, unified scaling and shearing operation, the users prefer operation cut operation, the line cutting scaling operation damages the image of the main image scaling in multiple operating, it should be time to stop. (4) In the image scaling in the multi-operation, the use of the information of the main colors to measure the current operation is the degree of damage on the image of visual information, in order to timely manner to prevent the line clipping operation, the by STATS image edge richness as a parameter to adjust the line cut operation energy cost function, adjusting line cutting the number of operations that generate multiple scaling results, and ultimately by the user to specify the most satisfactory results as image scaling results.

Related Dissertations

  1. A Driving Scheme for 7 Inch VGA μc-Si AMOLED,TN873
  2. Saliency -based image retrieval keying Research and Implementation,TP391.41
  3. Low-quality document image binarization research,TP391.41
  4. Bayesian framework of image saliency detection,TP391.41
  5. Based on the topological properties of the visual attention model and its application,TP391.41
  6. Research and Design of Image Processing Subsystem in Multi-Standard Video Post Processing Chip,TP391.41
  7. Research and Application of Image Resizing Method Based on Saliency,TP391.41
  8. Design of a Digital Graph Processing Module for 7-inch AM-OLED,TP391.41
  9. Nonlinear processing of image based on wavelet theory,TP391.41
  10. Technical Research of Handheld Terminal Displaying Based on Conditional Interpolation Algorithm,TP391.41
  11. The Research on Virtual View Generation,TP391.41
  12. Improved Seam Carving Based GrowCut image adaptive method,TP391.41
  13. Content-aware Image Resizing,TP391.41
  14. Video image processing key algorithm and intelligent video surveillance system,TP391.41
  15. Research on Visual Attention Model with Joint Spatial and Feature Domain Information,TP391.41
  16. Design of Video Scaling Module in Video Signal Processing Chip,TP391.41
  17. Edge Detection and Its Application to Image Scaling,TP391.41
  18. Real-time video scaling algorithm and FPGA implementation,TP391.41
  19. The Research of Human Meridian Database and Diagnosis Support System,TP311.13
  20. Research on Technologies of Adaptive Video Streaming Based on Rate-distortion,TN919.8

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