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Related Experiment Video

Updated: May 24, 2026

Computer-Generated Animal Model Stimuli

Computer-Generated Animal Model Stimuli

Published on: July 29, 2007

A new in-camera imaging model for color computer vision and its application.

Seon Joo Kim¹, Hai Ting Lin, Zheng Lu

¹SUNY Korea, 187 Songdo-Dong, Yeonsu-Gu, Incheon 406-840, Korea. seonjookim@sunykorea.ac.kr

IEEE Transactions on Pattern Analysis and Machine Intelligence

|February 29, 2012

Summary

Researchers developed a new in-camera imaging model to accurately convert sRGB images to original CCD RAW data. This advancement improves image processing and enables correction of images captured with incorrect camera settings.

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Area of Science:

Computer Vision
Image Processing
Computational Photography

Background:

Conventional radiometric calibration methods often use limited imaging models.
Modern digital cameras present challenges for existing image processing techniques.
Accurate conversion of image data is crucial for scientific and technical applications.

Purpose of the Study:

To investigate the transformation of image values into physically meaningful data.
To identify limitations in current in-camera imaging models.
To develop an improved in-camera imaging model and associated calibration procedures.

Main Methods:

Analysis of over 10,000 images from more than 30 diverse cameras.
Development and validation of a novel in-camera imaging model.
Design of calibration procedures for converting sRGB to CCD RAW responses.

Main Results:

Identified a significant limitation in conventional radiometric calibration models.
Proposed and validated a new in-camera imaging model that accurately represents modern cameras.
Achieved significantly more accurate sRGB to CCD RAW conversion compared to existing methods.
Demonstrated an image correction application using the new model.

Conclusions:

The new in-camera imaging model overcomes limitations of previous approaches.
Accurate radiometric calibration and image correction are achievable with the proposed method.
The developed model and procedures offer enhanced image processing capabilities for digital cameras.