TY - JOUR A2 - Favennec, Yann AU - Wang, Min AU - Li, Zhen AU - Duan, Xiangjun AU - Li, Wei PY - 2015 DA - 2015/11/19 TI - An Image Denoising Method with Enhancement of the Directional Features Based on Wavelet and SVD Transforms SP - 469350 VL - 2015 AB - This paper proposes an image denoising method, using the wavelet transform and the singular value decomposition (SVD), with the enhancement of the directional features. First, use the single-level discrete 2D wavelet transform to decompose the noised image into the low-frequency image part and the high-frequency parts (the horizontal, vertical, and diagonal parts), with the edge extracted and retained to avoid edge loss. Then, use the SVD to filter the noise of the high-frequency parts with image rotations and the enhancement of the directional features: to filter the diagonal part, one needs first to rotate it 45 degrees and rotate it back after filtering. Finally, reconstruct the image from the low-frequency part and the filtered high-frequency parts by the inverse wavelet transform to get the final denoising image. Experiments show the effectiveness of this method, compared with relevant methods. SN - 1024-123X UR - https://doi.org/10.1155/2015/469350 DO - 10.1155/2015/469350 JF - Mathematical Problems in Engineering PB - Hindawi Publishing Corporation KW - ER -