# Jpeg Image Compression Using Discrete Cosine Transform - A Survey

arXiv: https://arxiv.org/abs/1405.6147 · HTML: https://mlsanity.com/paper/1405.6147/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 May 2014.

## Built on by (most cited first, 11 of 11)

- [Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression](https://mlsanity.com/paper/2203.10897/) (2022)
- [Learning-Driven Lossy Image Compression; A Comprehensive Survey](https://mlsanity.com/paper/2201.09240/) (2022)
- [DCT-Former: Efficient Self-Attention with Discrete Cosine Transform](https://mlsanity.com/paper/2203.01178/) (2022)
- [A Tensor SVD-based Classification Algorithm Applied to fMRI Data](https://mlsanity.com/paper/2111.00587/) (2021)
- [OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal](https://mlsanity.com/paper/2408.11480/) (2024)
- [SINR: Sparsity Driven Compressed Implicit Neural Representations](https://mlsanity.com/paper/2503.19576/) (2025)
- [A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling](https://mlsanity.com/paper/2603.07506/) (2026)
- [Reversible Colour Density Compression of Images using cGANs](https://mlsanity.com/paper/2106.10542/) (2021)
- [Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts](https://mlsanity.com/paper/2405.02208/) (2024)
- [Breaking the Scale Barrier: One-Shot Knowledge Transfer via Frequency Transform](https://mlsanity.com/paper/2603.07523/) (2026)
- [Performance Benchmarking and Optimisation of Clustering Algorithms for Local and Non-Local Similarity Measure in Medical Image Analysis](https://mlsanity.com/paper/2607.09821/) (2026)

## Abstract (arXiv)

Due to the increasing requirements for transmission of images in computer, mobile environments, the research in the field of image compression has increased significantly. Image compression plays a crucial role in digital image processing, it is also very important for efficient transmission and storage of images. When we compute the number of bits per image resulting from typical sampling rates and quantization methods, we find that Image compression is needed. Therefore development of efficient techniques for image compression has become necessary .This paper is a survey for lossy image compression using Discrete Cosine Transform, it covers JPEG compression algorithm which is used for full-colour still image applications and describes all the components of it.