Jpeg Image Compression Using Discrete Cosine Transform - A Survey
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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.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 May 2014.
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Citing papers per year: 2021: 2; 2022: 3; 2023: 0; 2024: 2; 2025: 1; 2026: 3.
11 papers.
- 2022Unified Multivariate Gaussian Mixture for Efficient Neural Image Compressioncited by 43
- 2022Learning-Driven Lossy Image Compression; A Comprehensive Surveycited by 13
- 2022DCT-Former: Efficient Self-Attention with Discrete Cosine Transformcited by 12
- 2021A Tensor SVD-based Classification Algorithm Applied to fMRI Datacited by 5
- 2024OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removalcited by 3
- 2025SINR: Sparsity Driven Compressed Implicit Neural Representationscited by 3
- 2026A Unified Framework for Knowledge Transfer in Bidirectional Model Scalingcited by 1
- 2021Reversible Colour Density Compression of Images using cGANscited by 0
- 2024Reference-Free Image Quality Metric for Degradation and Reconstruction Artifactscited by 0
- 2026Breaking the Scale Barrier: One-Shot Knowledge Transfer via Frequency Transformcited by 0
- 2026Performance Benchmarking and Optimisation of Clustering Algorithms for Local and Non-Local Similarity Measure in Medical Image Analysiscited by 0
- 2026Performance Benchmarking and Optimisation of Clustering Algorithms for Local and Non-Local Similarity Measure in Medical Image Analysis10 Jul 2026
- 2026Breaking the Scale Barrier: One-Shot Knowledge Transfer via Frequency Transform8 Mar 2026
- 2026A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling8 Mar 2026
- 2025SINR: Sparsity Driven Compressed Implicit Neural Representations25 Mar 2025
- 2024OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal21 Aug 2024
- 2024Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts1 May 2024
- 2022Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression21 Mar 2022
- 2022DCT-Former: Efficient Self-Attention with Discrete Cosine Transform2 Mar 2022
- 2022Learning-Driven Lossy Image Compression; A Comprehensive Survey23 Jan 2022
- 2021A Tensor SVD-based Classification Algorithm Applied to fMRI Data31 Oct 2021
- 2021Reversible Colour Density Compression of Images using cGANs19 Jun 2021