mlsanityData to 7 Oct 2026

Jpeg Image Compression Using Discrete Cosine Transform - A Survey

arXiv 1405.6147 ↗First posted 8 May 2014cs.MMcited by 11

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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.