通过分析ROF(Rudin,Osher and Fatemi)模型和LLT（lysaker,lundervold and Tai)模型在处理噪声图像时存在的缺陷，以及纹理部分和噪声部分之间的差异，将图像分解思想和ROF模型与LLT模型相结合，提出了一种新的分解去噪模型：DD(decomposition and denoising)模型。该模型在处理噪声图像时，将噪声图像分解为结构、纹理和噪声3部分，从而达到既去噪又能分解的目的。进一步通过仿真试验，验证了DD模型和算法的合理性及有效性。

Through analysis shortcoming of the ROF(Rudin, Osher and Fatemi) model and LLT（Lysaker,Lundervold and Tai) model in denoising processing, and the difference between texture and noise, combining decomposition model, TV-norm and fourth-order PDE, the article proposes the DD(decomposition and denoising) modelWhen processing noise image, the new model decompose an noisy image into three parts, structure, texture and noise, and thas achieves denoising and decomposition Further through the experiments,we testify rationality and validity of the DD model and the algorithm