Dual-Compression Based Model Using the Active Object Detection Model

Abstract

The major objective of this image compression model is to retain the maximum quality of the main object in focus in the given image. Methods/Statistical analysis: The efficient object detection and localization algorithm has been implemented under this research, for the demarcation of the image zone containing the valuable information. The remaining image contents are compressed with the higher compression ratio based model, and the demarked zone will be compressed with maximum quality preservation method. Findings: The major results are collected in the form of image quality parameters (PSNR, MSE) and compression quality parameters (Compression Ratio) are the taken as the major performance measures. Application/Improvements: The proposed model has been primarily improved for the purpose of image quality improvement under the video conferencing models.

Authors and Affiliations

Hardeep Kaur, Damanpreet Kaur

Keywords

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  • EP ID EP240274
  • DOI -
  • Views 147
  • Downloads 0

How To Cite

Hardeep Kaur, Damanpreet Kaur (2017). Dual-Compression Based Model Using the Active Object Detection Model. International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR), 7(4), 71-80. https://europub.co.uk/articles/-A-240274