Adaptive Logarithmic Mapping For Displaying High Contrast Scenes

Abstract

We propose a fast, high quality tone mapping technique to display high contrast images on devices with limited dynamicrange of luminance values. The method is based on logarithmic compression of luminance values, imitatingthe human response to light. A bias power function is introduced to adaptively vary logarithmic bases, resultingin good preservation of details and contrast. To improve contrast in dark areas, changes to the gamma correctionprocedure are proposed. Our adaptive logarithmic mapping technique is capable of producing perceptually tunedimages with high dynamic content and works at interactive speed. We demonstrate a successful application of ourtone mapping technique with a high dynamic range video player enabling to adjust optimal viewing conditions forany kind of display while taking into account user preference concerning brightness, contrast compression, anddetail reproduction. Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Image Processing and Computer Vision]: Image Representation

Adaptive enhancement and noise reduction in very low light-level video

“…In the virtual exposures method of Bennett and McMillan [3], a tone mapping procedure is applied where the actual mapping is a logarithmic function similar to the one proposed by Drago et al [5]. The tone mapping procedure also contains additional smoothing using spatial and temporal bilateral filters and an attenuation of details, found by the subtraction of a filtered image from a non-filtered image.…”

Integrating Visual Saliency Information into Objective Quality Assessment of Tone-Mapped Images

“…The equations (12)(13)(14)(15)(16)(17)(18) demonstrate the computation of the structural fidelity, and we discover that there are some parameters in the procedure. The same with TMQI, we set C 1 =0.01…”

“…The first five LDR images generated by the TMOs developed by Reinhard et al [15], Drago et al [16], Durand & Dorsey [17], Mantiuk et al [18] and Pattanaik et al [19] are computed using the publicly available software Qtpfsgui [20]. In addition, the last three LDR images were created using the built-in TMOs in Adobe Photoshop, namely "Exposure and Gamma," "Equalize Histogram," and "Local Adaptation," respectively.…”

Adaptive quantization using piecewise companding and scaling for Gaussian mixture

“…K. Chiu et al proposed spatially nonuniform scaling functions for high contrast images [18]. F. Drago et al used an adaptive logrithmic mapping for displaying high contrast scenes [19]. Erik Reinhard et al [20] developed their tone mapping method based on the well-known photo-graphic pratice of dodging-and-burning.…”