Regular Paper

[OPTICAL REVIEW Vol. 21, No. 4 (2014) 440-447]
© 2014 The Japan Society of Applied Physics

Complex Adaptation-Based LDR Image Rendering for 3D Image Reconstruction

Sung-Hak LEE, Hyuk-Ju KWON*, and Kyu-Ik SOHNG

School of Electronics Engineering, Kyungpook National University, Daegu 702-701, Korea

(Received November 20, 2013; Revised April 12, 2014; Accepted May 30, 2014)

A low-dynamic tone-compression technique is developed for realistic image rendering that can make three-dimensional (3D) images similar to realistic scenes by overcoming brightness dimming in the 3D display mode. The 3D surround provides varying conditions for image quality, illuminant adaptation, contrast, gamma, color, sharpness, and so on. In general, gain/offset adjustment, gamma compensation, and histogram equalization have performed well in contrast compression; however, as a result of signal saturation and clipping effects, image details are removed and information is lost on bright and dark areas. Thus, an enhanced image mapping technique is proposed based on space-varying image compression. The performance of contrast compression is enhanced with complex adaptation in a 3D viewing surround combining global and local adaptation. Evaluating local image rendering in view of tone and color expression, noise reduction, and edge compensation confirms that the proposed 3D image-mapping model can compensate for the loss of image quality in the 3D mode.

Key words: LDR image, 3D image, tone mapping, visual adaptation, CAM, iCAM

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