Fuzzy Based Brightness Compensation for High Dynamic Range Images

2006 ◽  
Vol 10 (4) ◽  
pp. 549-554 ◽  
Author(s):  
Annamária R. Várkonyi-Kóczy ◽  
◽  
András Rövid ◽  
Péter Várlaki ◽  
Keyword(s):  
Dynamic Range ◽  
Digital Images ◽  
High Dynamic Range ◽  
Processing Algorithm ◽  
Range Images ◽  
Tone Reproduction ◽  
High Dynamic

High dynamic range of illumination may cause serious distortions and other problems in viewing and further processing of digital images. In this paper a new fuzzy based tone reproduction pre-processing algorithm is introduced which may help in developing hardly or nonviewable features and content of the images making easier the further processing of it.

scholarly journals Lightness Perception in Tone Reproduction for High Dynamic Range Images

2005 ◽  
Vol 24 (3) ◽  
pp. 635-645 ◽  
Author(s):  
Grzegorz Krawczyk ◽  
Karol Myszkowski ◽  
Hans-Peter Seidel
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Range Images ◽  
Lightness Perception ◽  
Tone Reproduction ◽  
High Dynamic

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.

Gradient-Related Non-Photorealistic Rendering for High Dynamic Range Images

2013 ◽  
Vol 17 (4) ◽  
pp. 628-636 ◽  
Author(s):  
Jiajun Lu ◽  
◽  
Fangyan Dong ◽  
Kaoru Hirota
Keyword(s):  
Visual Perception ◽  
Dynamic Range ◽  
Digital Images ◽  
High Dynamic Range ◽  
Experimental Results ◽  
Range Images ◽  
Source Information ◽  
Photorealistic Rendering ◽  
Low Luminance ◽  
High Dynamic

A non-photorealistic rendering (NPR) method based on elements, usually strokes, is proposed for rendering high dynamic range (HDR) images to mimic the visual perception of human artists and designers. It enables strokes generated in the rendering process to be placed accurately on account of improvements in computing gradient values especially in regions having particularly high or low luminance. Experimental results using a designed pattern show that angles of gradient values obtained from HDR images have a reduction in averaged error of up to 57.5% in comparison to that of conventional digital images. A partial experiment on incorporating HDR images into other NPR styles, such as dithering, shows the wide compatibility of HDR images in providing source information for NPR processes.

High Dynamic Range Images and Tone Mapping Operator

2009 ◽  
Vol 35 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Ke-Hu YANG ◽  
Jing JI ◽  
Jian-Jun GUO ◽  
Wen-Sheng YU
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Tone Mapping ◽  
Range Images ◽  
High Dynamic

scholarly journals Learning to display high dynamic range images

2007 ◽  
Vol 40 (10) ◽  
pp. 2641-2655 ◽  
Author(s):  
Guoping Qiu ◽  
Jiang Duan ◽  
Graham D. Finlayson
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Range Images ◽  
High Dynamic
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