Color Consistency Correction Based on Remapping Optimization for Image Stitching

Mao, Xia; Renping, Jian Yao; Zhang, Xie Mi; Xiao, Jinsheng

doi:10.1109/iccvw.2017.351

Cited by 26 publications

(20 citation statements)

References 24 publications

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“…Note that the results using PMLS were provided by the authors [2]. We also compared PMLS with two other recent techniques [21], [22] that also incorporate correspondences into their framework, but PMLS has been shown to perform better than these two [13] and so is the one reported here.…”

Section: B Evaluation Metricsmentioning

confidence: 87%

Patch-Based Colour Transfer with Optimal Transport

Alghamdi

Grogan

Dahyot

2019

2019 27th European Signal Processing Conference (EUSIPCO)

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This paper proposes a new colour transfer method with Optimal transport to transfer the colour of a source image to match the colour of a target image of the same scene. We propose to formulate the problem in higher dimensional spaces (than colour spaces) by encoding overlapping neighborhoods of pixels containing colour information as well as spatial information. Since several recoloured candidates are now generated for each pixel in the source image, we define an original procedure to efficiently merge these candidates which allows denoising and artifact removal as well as colour transfer. Experiments show quantitative and qualitative improvements over previous colour transfer methods. Our method can be applied to different contexts of colour transfer such as transferring colour between different camera models, camera settings, illumination conditions and colour retouch styles for photographs.Index Terms-optimal transport, colour transfer, image enhancement, JPEG compression blocks.

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Section: B Evaluation Metricsmentioning

confidence: 87%

Patch-Based Colour Transfer with Optimal Transport

Alghamdi

Grogan

Dahyot

2019

2019 27th European Signal Processing Conference (EUSIPCO)

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“…Results shown for PMLS [18] and B-PMLS [16] were provided by the authors. Two other recent techniques [19], [20] that account for correspondences were also tested for comparison but are not reported as PMLS has been shown to outperforms these two [8]. We have also compared our approach with [21], [22] that do not account for correspondences, however Grogan et al [8] already reported that IDT is superior, hence IDT is the one reported here for ease of comparison.…”

Section: Experimental Assessmentmentioning

confidence: 99%

Sliced $\mathcal{L}_{2}$ Distance for Colour Grading

Alghamdi

Dahyot

2021

2021 29th European Signal Processing Conference (EUSIPCO)

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We propose a new method with L2 distance that maps one N -dimensional distribution to another, taking into account available information about correspondences. We solve the high-dimensional problem in 1D space using an iterative projection approach. To show the potentials of this mapping, we apply it to colour transfer between two images that exhibit overlapped scenes. Experiments show quantitative and qualitative competitive results as compared with the state of the art colour transfer methods.

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“…The regions in the same position of the left‐eye and right‐eye panoramas may have different brightness, which makes it difficult for the audience to fuse the imagery when viewing the stereoscopic panorama in the VR headset. It is necessary to perform exposure compensation before the blending step [12, 25].…”

Section: Our Approachmentioning

confidence: 99%

Stable stitching method for stereoscopic panoramic video

Tan

Zhang

Wang

2018

CAAI Transactions on Intelligence Technology

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This paper proposes a stable method of generating a stereoscopic panoramic video with the omnidirectional stereo (ODS) format. Different from the traditional image stitching method which can only be applied to generate a monocular panorama, we adopt an optical flow-based blending method to create two panoramas for binocular vision. In addition, traditional image stitching methods based on seam-finding tend to cause the problem of temporal flicker. We address this problem by restricting the optical flow field of the new frame with its previous frame's optical flow field. Thus, the generated video is stable and out of temporal flicker. There are four key operations in our approach. First, we adopt the ODS format which is the basis of stereoscopic panorama. Second, we do effective exposure compensation, making the brightness of the two eyes' panoramas consistent. Third, we employ an optical flow-based blending method to synthesis the final panorama effectively. Fourth, we take the previous frame's optical flow field as the restriction of the present frame's optical flow field to acquire a stable video. The final output videos can deliver a pleasant and impressive stereoscopic viewing experience to the audience when the audience watches the videos in the virtual reality headset.

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Color Consistency Correction Based on Remapping Optimization for Image Stitching

Cited by 26 publications

References 24 publications

Patch-Based Colour Transfer with Optimal Transport

Patch-Based Colour Transfer with Optimal Transport

Sliced $\mathcal{L}_{2}$ Distance for Colour Grading

Stable stitching method for stereoscopic panoramic video

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