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Block-Based Discrete Cosine Approaches for Removal of JPEG Compression Artifacts

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Emerging Technologies in Data Mining and Information Security

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 490))

Abstract

Image compression plays an important role in different fields, such as medical imaging, digital photography, multimedia, interactive Television, mobile communications. The main function of image compression is to reduce the size of image, transmission cost and also occupy less storage space. It maintains the perceptual quality of an image without ant loss of important information. Therefore, space and time are two main components of image compression. Moreover, Image compression is a successful and popular technique which reduces the size of image and display tangible information of given data. Lossless, lossy and hybrid compression are the different types of techniques which used to reduce the size of images and videos. In this paper, advantages and efficiency of image compression have been discussed. There are two types of blocking artifacts filters that are discussed along with types of blocking artifacts.

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Author information

Authors and Affiliations

  1. University Institute of Computing, Chandigarh University, Mohali, Punjab, India

    Amanpreet Kaur Sandhu

Authors
  1. Amanpreet Kaur Sandhu
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Correspondence to Amanpreet Kaur Sandhu .

Editor information

Editors and Affiliations

  1. Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

  2. Department of Computer Science and Engineering, Institute of Engineering and Management, Kolkata, West Bengal, India

    Satyajit Chakrabarti

  3. Department of Computer Application and Science, Institute of Engineering and Management, Kolkata, West Bengal, India

    Abhishek Bhattacharya

  4. Department of Computer Application and Science, Institute of Engineering and Management, Kolkata, West Bengal, India

    Soumi Dutta

  5. Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

    Celia Shahnaz

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sandhu, A.K. (2023). Block-Based Discrete Cosine Approaches for Removal of JPEG Compression Artifacts. In: Dutta, P., Chakrabarti, S., Bhattacharya, A., Dutta, S., Shahnaz, C. (eds) Emerging Technologies in Data Mining and Information Security. Lecture Notes in Networks and Systems, vol 490. Springer, Singapore. https://doi.org/10.1007/978-981-19-4052-1_31

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