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

IEEE Transactions on Circuits and Systems for Video Technology(2018)

Cited 276|Views195
No score
Abstract
Deep learning, e.g., convolutional neural networks (CNNs), has achieved great success in image processing and computer vision especially in high-level vision applications, such as recognition and understanding. However, it is rarely used to solve low-level vision problems such as image compression studied in this paper. Here, we move forward a step and propose a novel compression framework based o...
More
Translated text
Key words
Image coding,Transform coding,Image reconstruction,Neural networks,Codecs,Convolutional codes,Quantization (signal)
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined