由于本文涉及多一层的Hyper encoder,故上式中添加了此部分loss计算。 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...
1.1 读取 defread_bmp(filename):"""Loads a bmp image file."""string = tf.read_file(filename) image = tf.image.decode_image(string, channels=0)#读取、解码,读入后为二维矩阵image = tf.cast(image, tf.float32)#转float32 类型image /=255#归一化returnimage 1.2 维度变换 # 假设输入矩阵维度...
2.2 变换模块 这篇长达27页的文章并没有详细展开说变换怎么做的,因为作者本人一直在做非线性变换,这里使用的变换在他2016年发表的文章《End-to-end optimization of nonlinear transform codes for perceptual quality》中有详细介绍。(其实下面量化模块使用的方法也是这篇文章中就提出来的,这篇文章还挺硬核充满数学公...
我们开发了一种基于非线性变换的图像压缩模型端到端优化框架(图1)。在此之前,我们证明了一个由线性 - 非线性块变换组成的模型,针对感知失真度量进行了优化,与针对均方误差(MSE)优化的模型相比,在视觉上表现出优越性(Ball'e,Laparra和Simoncelli,2016 )。在这里,我们针对MSE进行了优化,但使用了由线性卷积和非线性...
因此,大多数现有的图像压缩方法都是先通过一个线性变换将图像数据变换到合适的连续值表示,然后独立地量化这些连续值,最后使用一个无损的熵编码来编码量化得到的离散值。这个框架一般称为变换编码,因为变换在这个框架中起到决定性作用。比如,JPEG 使用 DCT 变换来编码像素块,而 JPEG2000 使用多尽度的正交小波变换来...
End-to-end optimized image compression with competition of prior distributions Convolutional autoencoders are now at the forefront of image compression research. To improve their entropy coding, encoder output is typically analyzed wi... B Brummer,C De Vleeschouwer - arXiv e-prints 被引量: 0发...
End-to-End Optimized 360° Image Compression : We don't have the ability to review paper PubDate: Sep 2022 Teams: , Harbin Institute of Technology;University of Electronic Science and Technology of China;Chinese University of Hong Kon Writers: Mu Li; Jinxing Li; Shuhang Gu; Feng Wu; David...
block size Regionally Adaptive Pooling (RAP) module whose parameters can be automatically optimized according to gradient feedback from an integrated semantic distortion metrics, including a successful exploration to apply Generative Adversarial Network (GAN) as metric directly in image compression scheme. ...
With the fast development of deep neural network techniques that could end-to-end learn a complex model with an objective loss function, experts and researchers have begun to develop an end-to-end optimized image compression model that learns how to model, de-correlate, and de-redundantize the...
Most image compression plugins are much more difficult to use than this one. Results are always good and optimization automation is two of my favorite features. - Jim Our Features All These Features, To Make Your Work Easier! Workable on all devices Picsmize always serves the most optimized ...