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In order to have good visual effects and improve the speed of image processing in image processing and analysis, it is necessary to study the parallel processing technology of computer image under ARM architecture. The current method is used to extract and transform domain image feature with computer image collection characteristics combined to overcome the current extraction of image defects of image shape description and extraction of image feature vector dimension is relatively low. Experimental results show that the good display effect through the image to extract the features of the images, the image texture features were detailed description, the method is applied to image processing technology, has good denoising effect and expansibility, the process is simple, but has poor visual effect of image problem. Therefore, a method of parallel processing of computer image under ARM architecture is proposed. This method uses the non local mean denoising algorithm for image denoising, and then combined with the results of image denoising using wavelet transform to detect the edge of image denoising, the nonlinear enhancement algorithm to enhance the completion of the parallel ARM architecture of computer image processing technology research on image. The experimental results show that the proposed method can not only improve the image processing speed, but also improve the visual effects of the image. It has a wide range of practical value.