Deep Image Compression using Decoder Side Information 最后介绍一篇arxiv2020的工作《Deep Image Compression using Decoder Side Information》 论文引入side information辅助decoder端进行快速图像解码。注意这个side information和以上几篇论文中的边信息不是同一概念啊,别混淆了。且side information 仅作用在decoder端。 先...
Image compression model 翻译结果4复制译文编辑译文朗读译文返回顶部 Image Compression model 翻译结果5复制译文编辑译文朗读译文返回顶部 Image compression model 相关内容 aYes,Duke your Grace 是,公爵您的雍容 [translate] a%1 was not found. %1未被发现。 [translate] apop down 下来流行音乐 [translate] aD...
Deep Image/Video Compression 一.Image Compression 1.主要步骤 -->神经网络编码(NN-Encoder) 基本单元:conv + downsampling + GDN 论文《Density modeling of image using a generalized normalization transformation》中首次提出GDN归一化, 即generalized divisive normalization。不同于BN的局部增益控制,GDN是空间自适...
Connectiv- ity data of the 3D model de¯nes the interpixel correlations in the projection image. Thus the wavelet transforms used in image processing do not give good results on this representation. CGAWT is de¯ned to take advantage of interpixel correlations in the image-like ...
In this paper, we propose an end-to-end image compression model to defend adversarial examples: ComDefend. The proposed model consists of a compression convolutional neural network (ComCNN) and a reconstruction convolutional neural network (ResCNN). The ComCNN is used to maintain the structure ...
Fig. 1. Image compression model Encoder and Decoder. The choice of choosing the best compression technique depends upon the nature of system. One of those operating platforms is visual sensor network (VSN). VSN consists of a number of low cost camera sensor nodes arrayed in a region of inter...
An edge-preserving image compression model is presented, based on subband coding and iterative constrained least square regularisation. The idea is to incorporate the technique of image restoration into the current lossy image compression schemes. The model utilises the edge information extracted from th...
Now, I will show you how to take use of the test codes for our image compression model. The file "test_imp.py" is used to test different models with different compression ratios. One model for one ratio. For each model, this file can generate the compressed image, calculate the PSNR ...
Keywords: image captioning; model compression; pruning; quantization 1. Introduction One of the most significant tasks combining two different domains such as CV and NLP is the image-captioning task [1]. Its goal is to automatically generate a caption describing an image given as an input. The...
There are two main types of image compression -lossless vs lossy. Let's take a quick look at them both. Lossless compression# Lossless compression is a method used to reduce the size of a file while maintaining thesame quality as before it was compressed. For example, in a DSLR camera, ...