An Improved Method Based on Fast Bilateral Filter for High Dynamic Image Rendering

2013 ◽  
Vol 710 ◽  
pp. 665-669
Author(s):  
Hui Zhang ◽  
Hua Wang ◽  
Jian Zhong Cao ◽  
Xiao Dong Zhao ◽  
Yang Jie Lei ◽  
...  
Keyword(s):  
Dynamic Range ◽  
Color Image ◽  
Bilateral Filter ◽  
High Dynamic Range ◽  
Mapping Method ◽  
Base Layer ◽  
Range Image ◽  
Local Contrast ◽  
Bilateral Filtering ◽  
High Dynamic

This paper presents an improved high dynamic range image tone mapping method based on fast bilateral filtering. The algorithm first applied a bilateral filtering to the luminance channel of the image, the image is decomposed into an HDR base layer and an LDR detail layer. Then the HDR base layer is blurred with bilateral filtering again, get the details portion of the base layer, at the same time the dynamic range of the global base layer is compressed. Finally, the detail component and the compressed HDR base layer are recombined and the result is tone-mapped image for displaying. For color image, the color restoration converts luminance value into RGB color. Experimental results show that the proposed technique performed better than the conventional bilateral filtering, preserving more details and enhancing local contrast, giving decent visual effect and avoiding additional artifacts.

scholarly journals High dynamic range image compression based on visual saliency

2020 ◽  
Vol 9 ◽  
Author(s):  
Jin Wang ◽  
Shenda Li ◽  
Qing Zhu
Keyword(s):  
Image Compression ◽  
Dynamic Range ◽  
Visual Saliency ◽  
High Dynamic Range ◽  
Base Layer ◽  
Range Image ◽  
Coding Region ◽  
Compression Scheme ◽  
High Dynamic ◽  
Hdr Image

Abstract With wider luminance range than conventional low dynamic range (LDR) images, high dynamic range (HDR) images are more consistent with human visual system (HVS). Recently, JPEG committee releases a new HDR image compression standard JPEG XT. It decomposes an input HDR image into base layer and extension layer. The base layer code stream provides JPEG (ISO/IEC 10918) backward compatibility, while the extension layer code stream helps to reconstruct the original HDR image. However, this method does not make full use of HVS, causing waste of bits on imperceptible regions to human eyes. In this paper, a visual saliency-based HDR image compression scheme is proposed. The saliency map of tone mapped HDR image is first extracted, then it is used to guide the encoding of extension layer. The compression quality is adaptive to the saliency of the coding region of the image. Extensive experimental results show that our method outperforms JPEG XT profile A, B, C and other state-of-the-art methods. Moreover, our proposed method offers the JPEG compatibility at the same time.

scholarly journals A Novel Approach for Detail-Enhanced Exposure Fusion Using Guided Filter

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Harbinder Singh ◽  
Vinay Kumar ◽  
Sunil Bhooshan
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Guided Filter ◽  
Base Layer ◽  
Range Image ◽  
Exposure Fusion ◽  
Novel Approach ◽  
Fused Image ◽  
High Dynamic ◽  
Fusion Approach

In this paper we propose a novel detail-enhancing exposure fusion approach using nonlinear translation-variant filter (NTF). With the captured Standard Dynamic Range (SDR) images under different exposure settings, first the fine details are extracted based on guided filter. Next, the base layers (i.e., images obtained from NTF) across all input images are fused using multiresolution pyramid. Exposure, contrast, and saturation measures are considered to generate a mask that guides the fusion process of the base layers. Finally, the fused base layer is combined with the extracted fine details to obtain detail-enhanced fused image. The goal is to preserve details in both very dark and extremely bright regions without High Dynamic Range Image (HDRI) representation and tone mapping step. Moreover, we have demonstrated that the proposed method is also suitable for the multifocus image fusion without introducing artifacts.

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

2020 ◽  
Vol 10 (7) ◽  
pp. 2513 ◽  
Author(s):  
Hyuk-Ju Kwon ◽  
Sung-Hak Lee
Keyword(s):  
Image Quality ◽  
Contrast Sensitivity ◽  
Human Visual System ◽  
Dynamic Range ◽  
Bilateral Filter ◽  
High Dynamic Range ◽  
Sensitivity Function ◽  
Base Layer ◽  
Compensation Technique ◽  
High Dynamic

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.

Detail Enhancement for High Dynamic Range Images Rendering Based on Multi-Level Decomposition

2014 ◽  
Vol 543-547 ◽  
pp. 2600-2604
Author(s):  
Hua Wang ◽  
Hui Zhang ◽  
Jian Zhong Cao ◽  
Zuo Feng Zhou ◽  
Lei Yang ◽  
...  
Keyword(s):  
Dynamic Range ◽  
Bilateral Filter ◽  
High Dynamic Range ◽  
Computational Photography ◽  
Base Layer ◽  
Range Images ◽  
Tone Reproduction ◽  
High Dynamic ◽  
Multi Level ◽  
Detail Enhancement

Various tone reproduction operators have been proposed to display high dynamic range images on low dynamic range (LDR) devices. Many recent computational photography techniques decompose an image into a piecewise smooth base layer, containing large scale variations in intensity, and a residual detail layer capturing the smaller scale details in the image. In these techniques, its important to control the scale of the extracted details and it is often needed to manipulate details in order to avoid the appearance of visual artifacts. In this paper, a new method is proposed to preserve details for high dynamic range images tone reproduction using multi-level image decomposition. We show that current base-detail decomposition techniques, based on the bilateral filter, are limited in their ability to extract detail at arbitrary scales. Thus, we achieve detail enhancement by applying the bilateral filter iteratively, and this process is called multi-level decomposition. By minimizing the proposed energy function, we can choose the proper decomposition level. Simulation results demonstrate that the proposed method can acquire better visual quality in detail enhancement while make the base smoothness.

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