高帧频虚拟图像无损防失真压缩算法仿真

Simulation of Lossless Anti-Distortion Compression Algorithm for High Frame Rate Virtual Image

高帧频虚拟图像的特征较密集且变化速度较快,其压缩处理易导致失真问题。为优化虚拟图像的交互式质量,提出高帧频虚拟图像无损防失真压缩算法。将高帧频虚拟图像输入深度学习网络中,去除高帧频虚拟图像中存在的噪声。依据像素点在两个图像块的差值对应的绝对值和SAD最小原则,对高帧频虚拟图像实施逐点划分操作。基于此,通过细节增强超分辨率算法对去噪后的图像做增强处理。采用LZW算法编码高帧频虚拟图像中像素的数据流以及掩膜图,完成高帧频虚拟图像无损防失真压缩。仿真结果表明,所提方法的图像保真度高,在保证图像质量的前提下,所提方法下的图像压缩比可保持在9以上。

The characteristics of high frame rate virtual images are dense and change rapidly.During the compres⁃sion of characteristics,distortion often occurs.In order to optimize the interactive quality of virtual images,this paper presented a lossless anti-distortion compression algorithm for high frame rate virtual images.Firstly,high frame rate virtual images were input into a deep learning network to remove the noise from images.According to the absolute val⁃ue corresponding to the difference of pixels in two image blocks and the SAD minimum principle,the virtual image with high frame rate was divided point by point.According to this,the denoised image was enhanced by a super-res⁃olution algorithm based on detail enhancement.Moreover,the LZW algorithm was adopted to encode the data stream and mask image of pixels in high frame rate virtual images.Finally,the lossless anti-distortion compression for high frame rate virtual images was completed.Simulation results prove that the proposed method can achieve higher fidelity of images.On the premise of ensuring image quality,the image compression ratio can be maintained above nine.