earticle

논문검색

Conversion 2D Image to 3D Based on Squeeze function and Gradient Map

초록

영어

The three-dimensional (3D) displays required the depth information which is unavailable in the conventional 2D content. This work describes a novel method that automatically converts 2D images into 3D ones. The proposed algorithm is composed of the estimation of depth levels by using modulation transfer function (MTF) squeeze model and determination of gradient map related to each depth level. The grouping is based on the pixels having similar colors and spatial locality. Based on a depth gradient map, a depth level is assigned. Next, the depth map is assigned by cooperating with a cross bilateral filter to diminish the blocky artifacts.

목차

Abstract
 1. Introduction
 2. Preparation for 3D Conversion
 3. Conversion Program
  3.1. ROI Selection
  3.2. Depth Extraction and Filtering
 4. Implementation
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Lee Sang-Hyun Dept. of Computer Engineering, Honam University, Korea Darwin Company, Korea, Dept. of Civil & Environmental Engineering, Honam University, Korea
  • Park Dae-Won Dept. of Computer Engineering, Honam University, Korea Darwin Company, Korea, Dept. of Civil & Environmental Engineering, Honam University, Korea
  • Jeong Je-Pyong Dept. of Computer Engineering, Honam University, Korea Darwin Company, Korea, Dept. of Civil & Environmental Engineering, Honam University, Korea
  • Moon Kyung-Il Dept. of Computer Engineering, Honam University, Korea Darwin Company, Korea, Dept. of Civil & Environmental Engineering, Honam University, Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.