Meng Yi

Xidian University, Ch’ang-an, Shaanxi, China

Are you Meng Yi?

Claim your profile

Publications (3)0 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: The multiscale geometric analysis (MGA) has been recognized as an effective strategy for image processing. As one of the discrete tools of MGA, the nonsubsampled contourlet transform (NSCT) has been widely used for image denoising, image fusion, image enhancement, feature extraction and so on. However, the processing performance is limited due to its high redundancy, and leading to an intensive computational efficiency. Therefore, its fast algorithm is desired in practice. In this paper, we adopt an optimized directional filter bank (DFB) and embed it into the NSCT to significantly accelerate the computational speed while keeping slight loss of the reconstructed performance. Experimental results show that the reconstructed image quality can satisfy the human visual system. Moreover, the improved NSCT has a speed about several times than that of the traditional one. Experimental results on image denoising also validate the feasibility and efficiency of the proposed method.
    Acta Automatica Sinica. 01/2014; 40(4):757–762.
  • [Show abstract] [Hide abstract]
    ABSTRACT: In many registration problems of an aerial video images, computational complexity and precision is of critical importance. In this paper an new aerial video images registration algorithm based on optimal derivative filters with Scene-Adaptive Corners is proposed. Firstly, the Harris detector based on optimal derivative filters is presented and scene-adaptation is used to control the number of feature points, Then through comparing the euclidean distance of the SURF(speed up robust feature) descriptors defined on the corner neighborhoods, the corresponding matches are established. Lastly, the transformation parameters are estimated using the invariant of five coplanar points, then the most "useful" matching points are used to register the frames. Experiment results illustrate that the proposed algorithm carries out accurate image registration and is robust to large image translation, scaling and rotation.
    Image and Graphics (ICIG), 2011 Sixth International Conference on; 09/2011
  • [Show abstract] [Hide abstract]
    ABSTRACT: An automatic image mosaic method based on the optimal derivative filters with well-distributed was proposed. Firstly interest points in an image are detected by Harris operator with optimal derivative filters, delaunay triangulation is used to reject the spurious feature points pair and estimate the parameters of geometric transform model. After the geometric transform of input images, the two images were fused and the image stitching was finished. The experimental results show that the proposed algorithm produces an improvement in mosaic accuracy�√ efficiency and robustness.
    01/2011;