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.

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Published

2021-03-27

Issue

Vol. 4 No. 6 (2017): IJIERT

Section

Articles

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