一种有效的图像降噪方法应用研究

Research on an Effective Application of Image Denoising Method

针对图像对比度低、噪声污染严重、图像优化处理不足等问题,阐述直方图在图像降噪中的应用。分析偏微分方程算法用于图像降噪处理的优势,仿真实验表明,该算法能够有效保留边缘信息和细节纹理,图像的信噪比和相似度明显增强。

Aiming at the problems of low contrast, serious noise pollution and insufficient image optimization, expounds the application of histogram in image denoising. Analyzes the advantages of Partial Differential Equation （PDE） algorithm for image denoising. The simulation results show that the algorithm can effectively preserve edge information and detail, and the Peak Signal to Noise Ratio （PSNR） and Structural Similarity Index Measurement （SSIM） are obviously enhanced.