NOVEL COMPARISON METHODFOR PASSPORT IMAGE APPLICATION

Authors

  • MISS. SHITAL S. CHILE Department of Electronics and Telecommunication Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, India
  • DR. SUHAS S. PATIL Principal ofBharati Vidyapeeth’s College of Engineering, Kolhapur, India

Keywords:

Image Compression,, Discrete Cosine Transform, Accuracy,, Soft Decision Quantization,

Abstract

In any image application required large storage space to store image information without harming qualityof image. In this paper,we propose a Laplacian model to reduce memory storage spaceand enhance quality of image.Our proposed model name isa Laplacian Transparent Composite Modeldevelopedfor discretecosine Transform coefficient to handle flat tail phenomenon which is present into it commonly. Thismodel having better accuracy and additional data reduction capability. This proposed method is compared with High Efficiency Video coding(HEVC)method. HEVC compressed images istakenandboth the method iscompared with three parameter such as Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE)and Compression Ratio.

Downloads

Published

2021-03-27

Issue

Vol. 4 No. 6 (2017): IJIERT

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Under the Creative Commons Attribution- 4.0 International License (CC BY-4.0 DEED).

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

How to Cite

MISS. SHITAL S. CHILE, & DR. SUHAS S. PATIL. (2021). NOVEL COMPARISON METHODFOR PASSPORT IMAGE APPLICATION. International Journal of Innovations in Engineering Research and Technology, 4(6), 1-5. https://repo.ijiert.org/index.php/ijiert/article/view/1389