Image Processing for Denoising Using Composite Adaptive Filtering Methods Based on RMSE

As one of the carriers for human communication and interaction, images are prone to contamination by noise during transmission and reception, which is often uncontrollable and unknown. Therefore, how to denoise images contaminated by unknown noise has gradually become one of the research focuses. In order to achieve blind denoising and separation to restore images, this paper proposes a method for image processing based on Root Mean Square Error (RMSE) by integrating multiple filtering methods for denoising. This method includes Wavelet Filtering, Gaussian Filtering, Median Filtering, Mean Filtering, Bilateral Filtering, Adaptive Bandpass Filtering, Non-local Means Filtering and Regularization Denoising suitable for different types of noise. We can apply this method to denoise images contaminated by blind noise sources and evaluate the denoising effects using RMSE. The smaller the RMSE, the better the denoising effect. The optimal denoising result is selected through comprehensively comparing the RMSE values of all methods. Experimental results demonstrate that the proposed method effectively denoises and restores images contaminated by blind noise sources.

Potential glioblastoma biomarkers identified by mass spectroscopy and iTRAQ labeling

Glioblastoma multiforme(GBM)is the most common primary malignant tumor of the central nervous system.Grade IV GBM is lethal,and has a high rate of relapse despite aggressive therapy.The prognosis is poor because of therapeutic resistance and tumor relapse.1 Very low rates of clinical responses and frequent treatment failures are common.Previous studies have focused on identifying genetic alterations in GBM that have diagnostic and prognostic values and may help to define the subclasses of the GBM patients,2,3 including mutations in isocitrate dehydrogenase 1(IDH1),amplification of epidermal growth factor receptors(EGFR),and mutations and polymorphisms of telomerase reverse transcriptase(TERT)promoter.These markers are useful for identifying the pathogenesis of malignant glioma formation,but they are all associated with tumorigenesis and do not currently influence the treatment of most GBM patients.