With the rapid development of multimedia and communication technologies, image technology has become more and more widely used in agriculture. Aiming at the advantages of structural similarity and MTF combined algorithm, this paper proposes an image quality evaluation algorithm based on structural similarity and MTF, which mainly adopts improved gamma correction method, dual homomorphic filter correction method and illumination-independent graph method. The pre-processed image was subjected to the elimination of illumination treatment, and the experimental results of the above three methods were compared, and the experimental results of the images not subjected to illumination-independent processing were compared and analyzed. The experimental results show that the evaluation indexes of SSIM algorithm are better than other evaluation algorithms in general. The distortion in JPEG2000 image is mainly caused by the ringing effect at the edge of the image caused by wavelet transform and the blurring caused by quantization. The SSIM algorithm not only considers the edge information of the image, but also develops an illumination-invariant image recognition system, so it has obtained good evaluation results. The MATLAB research platform is used to analyze the image quality evaluation of agricultural products packaging. Through the analysis of subjective and objective evaluation results, the algorithm that combines structural similarity and MTF is superior to other algorithms.

随着多媒体和通信技术的飞速发展，图像技术已越来越广泛地应用于农业。针对结构相似度和MTF组合算法的优点，提出了一种基于结构相似度和MTF的图像质量评价算法，主要采用改进的伽马校正方法，双同态滤波器校正方法和与光照无关的图形方法。对经过预处理的图像进行消除照明处理，比较上述三种方法的实验结果，并对未经过照明独立处理的图像进行比较和分析。实验结果表明，SSIM算法的评价指标总体上优于其他评价算法。JPEG2000图像中的失真主要是由小波变换引起的图像边缘的振铃效应和量化引起的模糊引起的。SSIM算法不仅考虑了图像的边缘信息，而且开发了光照不变的图像识别系统，取得了良好的评价效果。MATLAB研究平台用于分析农产品包装的图像质量评估。通过主观和客观评估结果的分析，结合结构相似性和MTF的算法优于其他算法。JPEG2000图像中的失真主要是由小波变换引起的图像边缘的振铃效应和量化引起的模糊引起的。SSIM算法不仅考虑了图像的边缘信息，而且开发了光照不变的图像识别系统，取得了良好的评价效果。MATLAB研究平台用于分析农产品包装的图像质量评估。通过主观和客观评估结果的分析，结合结构相似性和MTF的算法优于其他算法。JPEG2000图像中的失真主要是由小波变换引起的图像边缘的振铃效应和量化引起的模糊引起的。SSIM算法不仅考虑了图像的边缘信息，而且开发了光照不变的图像识别系统，取得了良好的评价效果。MATLAB研究平台用于分析农产品包装的图像质量评估。通过主观和客观评估结果的分析，结合结构相似性和MTF的算法优于其他算法。取得了良好的评价效果。MATLAB研究平台用于分析农产品包装的图像质量评估。通过主观和客观评估结果的分析，结合结构相似性和MTF的算法优于其他算法。取得了良好的评价效果。MATLAB研究平台用于分析农产品包装的图像质量评估。通过主观和客观评估结果的分析，结合结构相似性和MTF的算法优于其他算法。