Topic
Tone mapping
About: Tone mapping is a research topic. Over the lifetime, 1713 publications have been published within this topic receiving 48490 citations.
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10 Sep 2007
TL;DR: In this article, a piecewise linear tone remapping function is formed by repeatedly performing a first and a second step to determine a starting linear tone mapping function for a specific range of luminance values.
Abstract: The present invention is directed to a digital image content-adaptive contrast improving method. The method includes forming a piecewise linear tone remapping function for a digital image according to the histogram thereof. The piecewise linear tone remapping function is formed by repeatedly performing a first and a second step. The first step determines a starting linear tone mapping function for a specific range of luminance values. The second step generates a new tone mapping function for the specific range of luminance values based on the starting linear tone mapping function and the histogram. An apparatus for implementing the method is also provided.
10 citations
08 Jul 2009
TL;DR: Interactive evolution as a computational tool for tone mapping is proposed and an evolution strategy that blends the results from several tone mapping operators while at the same time adapting their parameters is found to yield promising results with little effort required of the user.
Abstract: Tone mapping is a computational task of significance in the context of displaying high dynamic range images on low dynamic range devices While a number of tone mapping algorithms have been proposed and are in common use, there is no single operator that yields optimal results under all conditions Moreover, obtaining satisfactory mappings often requires the manual tweaking of parameters This paper proposes interactive evolution as a computational tool for tone mapping An evolution strategy that blends the results from several tone mapping operators while at the same time adapting their parameters is found to yield promising results with little effort required of the user
10 citations
18 Dec 2016
TL;DR: A classical method for retrieval of minute information from the high dynamic range image has been proposed based on variational calculus and dynamic stochastic resonance and it has been observed that the proposed technique is better or at most comparable to the existing techniques.
Abstract: While capturing pictures by a simple camera in a scene with the presence of harsh or strong lighting like a full sunny day, we often find loss of highlight detail information (overexposure) in the bright regions and loss of shadow detail information (underexposure) in dark regions. In this manuscript, a classical method for retrieval of minute information from the high dynamic range image has been proposed. Our technique is based on variational calculus and dynamic stochastic resonance (DSR). We use a regularizer function, which has been added in order to optimise the correct estimation of the lost details from the overexposed or underexposed region of the image. We suppress the dynamic range of the luminance image by attenuating large gradient with the large magnitude and low gradient with low magnitude. At the same time, dynamic stochastic resonance (DSR) has been used to improve the underexposed region of the image. The experimental results of our proposed technique are capable of enhancing the quality of images in both overexposed and underexposed regions. The proposed technique is compared with most of the state-of-the-art techniques and it has been observed that the proposed technique is better or at most comparable to the existing techniques.
10 citations
12 Dec 2008
TL;DR: This paper describes a high throughput encoder for high dynamic range (HDR) images that is compatible with the JPEG2000 engine, and has high enough throughput to support a system processing 1024x768 images of 96 bpp at a rate of 60 frames per second.
Abstract: This paper describes a high throughput encoder for high dynamic range (HDR) images that is compatible with the JPEG2000 engine. A nine-level Reinhard-like tone mapping operator is used to calculate a local illumination estimate around each pixel in the image. Both, the local illumination estimate and the tone mapped pixel streams are sent to the JPEG2000 engine for compression. When tested with HDR images and video, the encoder gave high quality output images with high peak signal-to-noise ratios for a compression rate of 4.8 bits per pixel (bpp). The encoder was implemented on a field programmable gate array (FPGA), and has high enough throughput to support a system processing 1024x768 images of 96 bpp at a rate of 60 frames per second.
10 citations
TL;DR: This novel technique generates HDR multi-view images in an efficient way, and only NLDR images are needed to render HDR images in N views, and to efficiently transmit the multi-View image with various exposure, two coding architectures are proposed.
Abstract: High-dynamic-range (HDR) images offer better visual quality that is much closer to reality by allowing a wider range of luminance. Because of the rarity of devices that directly capture/display scenes in HDR format, HDR images are usually generated using several low-dynamic-range (LDR) images with various exposure settings and then displayed on the conventional display, after tone mapping. This paper proposes HDR generation for multi-view images considering the need to provide the user with an expanded visual experience, not only in terms of a wider field of view (FOV), but also with a greater dynamic range. This novel technique generates HDR multi-view images in an efficient way, and only NLDR images are needed to render HDR images in N views. Furthermore, to efficiently transmit the multi-view image with various exposure, two coding architectures are proposed. The experimental results show that the proposed schemes are capable of achieving 39.5 % bitrate savings and give a rendered HDR image with greatly improved quality, compared to a conventional multi-view coding scheme.
10 citations