Mobile-end Tone Mapping based on Integral Image and Integral Histogram

TL;DR

This paper presents a fast, high-quality WDR image tone mapping method optimized for mobile devices, utilizing integral image/histogram and GPU acceleration to achieve real-time performance.

Contribution

It introduces a novel mobile-end WDR tone mapping approach that combines integral image techniques with GPU parallelism for efficient processing.

Findings

Processes high-resolution images within a second on mobile devices.

Produces appealing image quality with high performance.

Leverages integral image and histogram for reduced computation.

Abstract

Wide dynamic range (WDR) image tone mapping is in high demand in many applications like film production, security monitoring, and photography. It is especially crucial for mobile devices because most of the images taken today are from mobile phones, hence such technology is highly demanded in the consumer market of mobile devices and is essential for a good customer experience. However, high-quality and high-performance WDR image tone mapping implementations are rarely found in the mobile-end. In this paper, we introduce a high performance, mobile-end WDR image tone mapping implementation. It leverages the tone mapping results of multiple receptive fields and calculates a suitable value for each pixel. The utilization of integral image and integral histogram significantly reduce the required computation. Moreover, GPU parallel computation is used to increase the processing speed. The experimental results indicate that our implementation can process a high-resolution WDR image within a second on mobile devices and produce appealing image quality.