Abstract

Tone mapping algorithms are used to adapt captured wide dynamic range (WDR) scenes to the limited dynamic range of available display devices. Although there are several tone mapping algorithms available, most of them require manual tuning of their rendering parameters. In addition, the high complexities of some of these algorithms make it difficult to implement efficient real-time hardware systems. In this work, a real-time hardware implementation of an exponent-based tone mapping algorithm is presented. The algorithm performs a mixture of both global and local compression on colored WDR images. An automatic parameter selector has been proposed for the tone mapping algorithm in order to achieve good tone-mapped images without manual reconfiguration of the algorithm for each WDR image. Both algorithms are described in Verilog and synthesized for a field programmable gate array (FPGA). The hardware architecture employs a combination of parallelism and system pipelining, so as to achieve a high performance in power consumption, hardware resources usage and processing speed. Results show that the hardware architecture produces images of good visual quality that can be compared to software-based tone mapping algorithms. High peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) scores were obtained when the results were compared with output images obtained from software simulations using MATLAB.

Highlights

  • Dynamic range can be described as the luminance ratio between the brightest and darkest part of a scene [1,2]

  • We focused on designing an efficient hardware tone mapping system by optimizing the tone mapping algorithm of Glozman et al [22,24] and implementing the improved tone mapping design in an field programmable gate array (FPGA) device that will be used along with a wide dynamic range (WDR) CMOS imager for real-time image compression

  • We proposed an algorithm that can be used in estimating the rendering parameter k, needed for Glozman et al.’s operator

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Summary

Introduction

Dynamic range can be described as the luminance ratio between the brightest and darkest part of a scene [1,2]. The tone mapping algorithm developed by Glozman et al [22,24] takes advantage of the strengths of both global and local tone mapping methods, so as to achieve the goal of compressing a wide range of pixel values into a smaller range that is suitable for display devices with less heavy computational effort. The simplicity of this tone mapping operator makes it a suitable algorithm that can be used as part of a system-on-a-chip.

Tone Mapping Implementations
Related Research on Hardware-Based Tone Mapping
Tone Mapping Algorithm for Current Work
Developing the Automatic Parameter Estimation Algorithm
Manually Estimating the Values of k
Determining the Independent Variable x
Correlation between k and the Proposed Independent Variables
Proposed Hardware Tone Mapping Design
Convolution
Factor k Generator
Inverse Exponential Function
Control Unit
Experimental Results
Image Quality
Performance Analysis
Comparison with Existing Research
Conclusions
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