Logarithmic Tone Mapping Algorithm Based on Block Mapping Fusion

Tan, Junlang; Huang, Yihua; Wang, Kai

doi:10.1109/icalip.2018.8455806

Cited by 5 publications

(16 citation statements)

References 14 publications

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“…The S G filter-based outputs are comparable to the state of the art tone-mapping and exposure blending techniques described in [1,19,[29][30][31][32][33][34]. The proposed approach fares well in terms of PSNR, IMMSE and SSIM scores.…”

Section: Resultsmentioning

confidence: 76%

“…As compared with the outputs of Ashikmin et al [29], Banterlee et al [30], Lischinski et al [32] and Logarithmic et al [33] operators and as depicted in Fig. 5 S G Filter fares well in retrieving the dimly lit regions near the book shelf.…”

Section: Regarding House Imagementioning

confidence: 82%

“…As compared to the approaches by Ashikmin et al [29], Banterlee et al [30], Lischinski et al [32] and Reinhard et al [34] we are able to get good retrieval of the details inside the room. In these approaches listed in [29,30,[32][33][34] we are unable to obtain the details within the room for the open door image sequence. Our method produces equivalent and better results in terms of quality factors like the PSNR, Q, MMSE and SSIM Index as compared with other listed methods as described in the Table 1 (Fig.…”

Section: Regarding Results For the Door Image Sequencementioning

confidence: 99%

“…If we magnify the dark regions of the image we are able to see successful tone reproduction and structural reproduction. [29], c Banterlee et al [30], d Bilateral et al [1], e Bruce et al [31], f Lischinski et al [32], g Logarithmic et al [33], h Mertens et al [19], i Reinhard et al [34] Also when compared to other approaches listed in [1,29,30,[32][33][34] our technique fares well in terms of PSNR, Q, IMMSE and SSIM Index values.…”

Section: Regarding Window Imagementioning

confidence: 85%

“…al. [33] describes a logarithmic tone mapping algorithm based on block mapping function. Mertens et.…”

Section: Some Popular Hdr Imaging Techniques Used For Comparison In This Workmentioning

confidence: 99%

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Savitzky–Golay Filtering-Based Fusion of Multiple Exposure Images for High Dynamic Range Imaging

Ramakrishnan

Pete

2021

SN COMPUT. SCI.

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The problem of compositing multiple exposure images has attracted lots of researchers, over the past years. It all began with the problem of High Dynamic Range (HDR) imaging, for capturing scenes with vast differences in their dynamic range. Fine details in all the areas in these scenes cannot be captured with one single exposure setting of the camera aperture. This leads to multiple exposure images with each image containing accurate representation of different regions dimly lit, well lit and brightly lit in the scenes. One can make a combined HDR image out of these multiple exposure shots. This combination of multiple exposure shots leads to an image of a higher dynamic range in a different image format which cannot be represented in the traditional Low Dynamic Range (LDR) formats. Moreover HDR images cannot be displayed in traditional display devices suitable for LDR. So these images have to undergo a process called as tone mapping for further converting them to be suitable enough to be represented on usual LDR displays. An approach based on Savitzky-Golay parametric filtering which preserves edges, is proposed which uses filtered multiple exposure images to generate the alpha matte coefficients required for fusing the input multiple exposure set. The coefficients generated in the proposed approach helps in retaining the weak edges and the fine textures which are lost as a result of the under and over exposures. The proposed approach is similar in nature to the bilateral filter-based compositing approach for multiple exposure images in the literature but it is novel, in exploring the possibility of compositing using a parametric filtering approach. The proposed approach performs the fusion in the LDR domain and the fused output can also be displayed using standard LDR image formats on standard LDR displays. A brief comparison of the results generated by the proposed method and various other approaches, including the traditional exposure fusion, tone mapping-based techniques and bilateral filter-based approach is presented where in the proposed method compares well and fares better in majority of the test cases.

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Section: Resultsmentioning

confidence: 76%