You are provided with the abstract of a scientific paper and the abstracts of the papers it references. Your task is to write a Related Work section for the main paper. This section should concisely summarize and integrate the key points from the cited abstracts, reflecting how they relate to the main paper's contributions and context. In your summary, use numerical citation markers like [1], [2], etc., to refer to the corresponding papers.

Main Abstract:
The traditional image compressors, e.g., BPG and H.266, have achieved great image and video compression quality. Recently, Convolutional Neural Network has been used widely in image compression. We proposed an attention-based convolutional neural network for low bit-rate compression to post-process the output of traditional image compression decoder. Across the experimental results on validation sets, the post-processing module trained by MAE and MS-SSIM losses yields the highest PSNR of 32.10 on average at the bit-rate of 0.15.

Cited Abstract(s):
[1]: 

[2]: H.264 AVC is newest video coding standard of the ITU-T Video Coding Experts Group and the ISO IEC Moving Picture Experts Group. The main goals of the H.264 AVC standardization effort have been enhanced compression performance and provision of a "network-friendly" video representation addressing "conversational" (video telephony) and "nonconversational" (storage, broadcast, or streaming) applications. H.264 AVC has achieved a significant improvement in rate-distortion efficiency relative to existing standards. This article provides an overview of the technical features of H.264 AVC, describes profiles and applications for the standard, and outlines the history of the standardization process.

[3]: High Efficiency Video Coding (HEVC) is currently being prepared as the newest video coding standard of the ITU-T Video Coding Experts Group and the ISO IEC Moving Picture Experts Group. The main goal of the HEVC standardization effort is to enable significantly improved compression performance relative to existing standards-in the range of 50 bit-rate reduction for equal perceptual video quality. This paper provides an overview of the technical features and characteristics of the HEVC standard.

[4]: Last year at Google IO, we launched the WebM Project(webmproject.org) a project that aims to develop a high-quality, open video format for the web that is freely available to everyone. In this session, we'll explore the history of the project and discuss the long term goals we have for WebM. We'll also deep dive in all the pieces that make up the WebM format, review related projects and present the technical features that make WebM work especially well for web video. Finally, we'll compare the performance of WebM to other formats used on the Internet and open up the floor for discussion.
JPEG is a widely used image format using 2D Fourier Discrete Cosine (DCT) Transform. It is also the foundation of most popular H.264 [2] video compression format. However, JPEG 2000 uses the wavelet transform to beat up JPEG for its higher quality in the same level of Bit Per Pixel (BPP). However, the lack of its application and slow encoding and decoding speed hinder its popularity. Google presented WebP in 2010 in order to substitute JPEG or PNG on the internet. The Predicting Module in the MacroBlocking of WebP sends the predicted output to the DCT transform, thus compressing the image in a more effective way. People tend to find a better way of image compression from video compression techniques. WebP can be seen as the key-frame compression of WebM [4] . BPG is derived from HEVC [3] (a.k.a the second part of H.265). It gives a higher dynamic range and a better compression ratio. H.266, i.e., Versatile Video Coding (VVC) [1] proposed by JVET group, is beyond H.265 and desire to have a preferable performance than any other traditional image video compression methods.