A new encod-decoder steganography scheme based on dense residual connection was proposed to solve the problem of poor quality of encod-decoder images and message images generated by image steganography schemes based on encoder-decoder networks. Different from the existing end-to-end image steganography networks, the proposed scheme does not need to preprocess the image, and adopts dense residual connections to transport the features of the shallow network to each layer of the deep network structure, effectively preserving the details of the feature map, and uses channels and spatial attention modules to filter the features, improving the codec's attention to the complex texture region of the image. Experimental results on LFW, PASCAL-VOC12 and ImageNet datasets show that the proposed method can effectively improve image quality under the premise of ensuring the security of the algorithm, including the peak signal-to-noise ratio of dense images and carrier images. The mean values of peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) are 36.2 dB and 0.98 respectively.