Image Classification and Optimized Image Reproduction
Jaswinder Singh Dilawari, Ravinder Khanna

TL;DR
This paper presents new adapted color charts designed to improve image compression, color reproduction, and rendering by considering human visual system properties, demonstrated through tests on extreme images.
Contribution
It introduces novel adapted color charts based on image analysis, enhancing image information analysis and reproduction quality.
Findings
Improved analysis of image gradation and detail reproduction.
Enhanced image reproduction for key information in dark and light areas.
Better image compression and color accuracy using adapted color charts.
Abstract
By taking into account the properties and limitations of the human visual system, images can be more efficiently compressed, colors more accurately reproduced, prints better rendered. To show all these advantages in this paper new adapted color charts have been created based on technical and visual image category analysis. A number of tests have been carried out using extreme images with their key information strictly in dark and light areas. It was shown that the image categorization using the adapted color charts improves the analysis of relevant image information with regard to both the image gradation and the detail reproduction. The images with key information in hi-key areas were also test printed using the adapted color charts.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsImage Retrieval and Classification Techniques · Image and Signal Denoising Methods · Advanced Image and Video Retrieval Techniques
