Contrast Sensitivity Based Multiscale Base–Detail Separation for Enhanced HDR Imaging

Hyuk-Ju Kwon,Sung-Hak Lee

doi:10.3390/app10072513

Abstract

High dynamic range (HDR) imaging is used to represent scenes with a greater dynamic range of luminance on a standard dynamic range display. Usually, HDR images are synthesized through base–detail separations. The base layer is used for tone compression and the detail layer is used for detail preservation. The representative detail-preserved algorithm iCAM06 has a tendency to reduce the sharpness of dim surround images, because of the fixed edge-stopping function of the fast-bilateral filter (FBF). This paper proposes a novel base–detail separation and detail compensation technique using the contrast sensitivity function (CSF) in the segmented frequency domain. Experimental results show that the proposed rendering method has better sharpness features and image quality than previous methods correlated by the human visual system.

Highlights

High dynamic range (HDR) imaging was introduced to record real-world radiance values, which can be at a much higher range than that of ordinary imaging devices
The fast-bilateral filter (FBF) causes the reduction of the original luminance information in the iCAM06 due to the log processing of Y (0 to 104 ) of HDR images and the fixed edge-stopping function reduces the detail information in a specific region of the image according to the kernel parameters
The iCAM06 tends to reduce the sharpness of dim surround due to the fixed edge-stopping function of the FBF in iCAM06

Summary

Introduction

High dynamic range (HDR) imaging was introduced to record real-world radiance values, which can be at a much higher range than that of ordinary imaging devices. The modules of chromatic adaptation and tone-compression processing are only applied to the base layer, preserving details in the image For this processing, the iCAM06 uses the FBF that smooths the noise while preserving edge structures [4]. When compressing the global dynamic range, the local details must be clearly preserved in the real-world scene To accomplish this visual feature, the FBF corresponding to the filter in Figure 1 divides XYZ into base and detail layers [2]. The FBF causes the reduction of the original luminance information in the iCAM06 due to the log processing of Y (0 to 104 ) of HDR images and the fixed edge-stopping function reduces the detail information in a specific region of the image according to the kernel parameters.

Contrast

Base–Detail

Simulations

Comparison of the RGB channel’s noise scan line positions

Conclusions