Earticle

초록

영어

This paper proposes a new method of efficient image reconstruction based on the Modified Frame Reconstruction Iterative Thresholding Algorithm (MFR ITA) developed under the compressed sensing (CS) domain by using total variation algorithm. The new framework is consisted of three phases. Firstly, the input images are processed by the multilook processing with their sparse coefficients using the Discrete Wavelet Transform (DWT) method. Secondly, the measurements are obtained from sparse coefficient by using the proposed fusion method to achieve the balance resolution of the pixels. Finally, the fast CS method based on the MFR ITA is proposed to reconstruct the high resolution image. The proposed method achieved superior results on real images, and demonstrate qualitative improvements in terms of PSNR and SSIM values. Furthermore, achieved good reconstruction SNR in the presence of noise.

목차

Abstract
 1. Introduction
 2. Problem Formulation and Modeling
  2.1. Multilook and Compressed Sensing
  2.2. Modified Frame Reconstruction (MFR ITA)
 3. HR Image Reconstruction
  3.1. Compressive Image Fusion
  3.2. Image Reconstruction via Total Variation
 4. Modified Frame Reconstruction ITA Error Analysis
 5. Simulation Results
 6. Conclusion
 References

키워드

저자

• Muhammad Sameer Sheikh [ Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China ]
• Qumsheng Cao [ Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China ]
• Caiyun Wang [ Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China ]
• Muhammad Shafiq [ Electronic Engineering Department, Sir Syed University of Engineering & Technology, Karachi, Pakistan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605