嵌入式图像质量评估算法研究

摘要

嵌入式设备由于其硬件限制，在对显示图像进行一系列处理时会对图像的质量造成损害，进而影响显示效果。为降低损伤的程度，需要对图像处理的相关算法进行评估。通过对峰值信噪比（PSNR）和结构相似度（SSIM）两种图像质量评估算法进行比较，深入分析了图像质量的评估体系，提高了图像压缩算法的保真性。%Embedded devices due to its hardware limitations, in a series of display image quality of the image processing will cause damage, thereby affecting the display. In order to reduce the damage degree, need to evaluate image processing algorithms. Through the peak signal to noise ratio(PSNR)and structural similarity(SSIM)two kinds of image quality assessment algorithms were compared, in-depth analysis of the image quality evaluation system to improve the fidelity of the image compression algorithms.