方向性差分を用いたFINDRMと分解係数間の関係を考慮した双対木複素ウェーブレットを用いた混合雑音除去 <Abstract> In this paper, a new framework for removing mixed noise composed of the impulse and Gaussian noises from images is presented in which the FINDRM with the directional difference and the Bivariate Shrinkage Function (BSF) in the Dual-Tree Complex Wavelet Transform (DT-CWT) domain are used. First, the noise detection phase of the Fuzzy Impulse Noise Detection and Reduction Method (FINDRM) is used to determine whether a pixel is an impulse or not. When the pixel is determined as an impulse noise, the FINDRM with the directional difference is used to restore the impulse noise. Second, Gaussian noise is removed by using the BSF, which considers the relationships between wavelet coefficients in the DT-CWT domain. Applying the proposed framework to an image corrupted by mixed noise, a clean image can be obtained. |