DeepAI AI Chat
Log In Sign Up

Multiple reconstruction compression framework based on PNG image

by   Zhiqing Lu, et al.

It is shown that neural networks (NNs) achieve excellent performances in image compression and reconstruction. However, there are still many shortcomings in the practical application, which eventually lead to the loss of neural network image processing ability. Based on this, this paper proposes a joint framework based on neural network and zoom compression. The framework first encodes the incoming PNG or JPEG image information, and then the image is converted into binary input decoder to reconstruct the intermediate state image, next we import the intermediate state image into the zooming compressor and re-pressurize it, and reconstruct the final image. From the experimental results, this method can better process the digital image and suppress the reverse expansion problem, and the compression effect can be improved by 4 to 10 times as much as that of using RNN alone, showing better ability in application. In this paper, the method is transmitted over a digital image, the effect is far better than the existing compression method alone, the Human visual system can not feel the change of the effect.


page 9

page 11


An End-to-End Compression Framework Based on Convolutional Neural Networks

Deep learning, e.g., convolutional neural networks (CNNs), has achieved ...

Full Resolution Image Compression with Recurrent Neural Networks

This paper presents a set of full-resolution lossy image compression met...

Semantically Structured Image Compression via Irregular Group-Based Decoupling

Image compression techniques typically focus on compressing rectangular ...

Improving Multi-generation Robustness of Learned Image Compression

Benefit from flexible network designs and end-to-end joint optimization ...

Towards improved lossy image compression: Human image reconstruction with public-domain images

Lossy image compression has been studied extensively in the context of t...

Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks

To enhance image compression performance, recent deep neural network-bas...

Image Compression with Recurrent Neural Network and Generalized Divisive Normalization

Image compression is a method to remove spatial redundancy between adjac...