摘要
Abstract
The limited number of pixels in low resolution images can result in loss or blurring of detailed information,leading to inaccurate transmission.To address this issue,a fast restoration method for low resolution indoor environment design images is proposed.A degradation model was constructed for these images,and key edge information of the image was preserved through edge regularization during the de-noising process.Based on this degradation model,the iterative function for blind deconvolution is calcu-lated,and combined with the blur function of all regions of the image,the blur effect of the image is re-moved,and the image is gradually restored to its original high-definition quality.The experimental results show that this method can effectively restore the edge information in degraded images,and the peak sig-nal-to-noise ratio of the restored image is 32.63 dB,and the image structure similarity is 0.99.Addition-ally,the image restoration can be completed within 2 ms,demonstrating that the proposed method has high restoration efficiency and can significantly improve the clarity and detail expression of low-resolution indoor environment design images.关键词
盲目反卷积/低分辨率/室内环境/设计图像/图像复原Key words
blind deconvolution/low resolution/indoor environment/design image/image restoration分类
信息技术与安全科学
