# Image Classification and Optimized Image Reproduction

Source: [Image Classification and Optimized Image Reproduction](<https://www.sota2.com/research/paper/68fa61b81e209131ce9f5bdf>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-28T13:56:30.229Z

Authors: Jaswinder Singh Dilawari, Ravinder Khanna

Published: 2012-09-23T08:11:27.000Z

## 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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1209.5040>)

[PDF](<https://arxiv.org/pdf/1209.5040.pdf>)