A Review on Quality of Image during CBIR Operations and Compression
Authors: Diwanshi Singla, Dharminder Kumar and Sakshi Dhingra
Publishing Date: 10-12-2021
ISBN: 978-93-91842-08-6
Abstract
The research paper is review the quality of image at the time of CBIR operation. Research is opting to maintain the quality of image even after performing compression. Research work has highlighted the impact of CBIR operation and compression operation over quality of image. The major issue in image processing research is impact of image processing over image quality. Moreover there is need to discuss loss less compression mechanism to retain quality of image. Research paper is considering different methodologies used by existing research paper along with their working mechanism, advantages and disadvantage. Research is considering image processing as process of extracting information from pictures and combining it for use in a variety of applications. Image processing programmes are useful in a variety of situations. A few examples include medical imaging, industrial applications. The remote sensing, spaces as well as military applications are also considered. The application of computer vision mechanism to the graphic content retrieval problem has been considered a challenge in finding digital pictures in huge databases. Existing researches have worked to improve the overall performance during image processing by retaining quality of the image. Moreover, there is increase in accurate decisions making. Research is opting to retain the quality of image during CBIR operations.
Keywords
CBIR, Edge detection, Image processing, Quality of image.
Cite as
Diwanshi Singla, Dharminder Kumar and Sakshi Dhingra, "A Review on Quality of Image during CBIR Operations and Compression", In: Raju Pal and Praveen Kumar Shukla (eds), SCRS Conference Proceedings on Intelligent Systems, SCRS, India, 2021, pp. 201-211. https://doi.org/10.52458/978-93-91842-08-6-19