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Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions
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| Zeitschriftentitel: | Sensors |
|---|---|
| Personen und Körperschaften: | , |
| In: | Sensors, 19, 2019, 16, S. 3526 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
MDPI AG
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| Schlagwörter: |
| author_facet |
Ayhan Kwan Ayhan Kwan |
|---|---|
| author |
Ayhan Kwan |
| spellingShingle |
Ayhan Kwan Sensors Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions Electrical and Electronic Engineering Biochemistry Instrumentation Atomic and Molecular Physics, and Optics Analytical Chemistry |
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ayhan |
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Ayhan Kwan 1424-8220 MDPI AG Electrical and Electronic Engineering Biochemistry Instrumentation Atomic and Molecular Physics, and Optics Analytical Chemistry http://dx.doi.org/10.3390/s19163526 <jats:p>In this paper, we introduce an in-depth application of high-resolution disparity map estimation using stereo images from Mars Curiosity rover’s Mastcams, which have two imagers with different resolutions. The left Mastcam has three times lower resolution as that of the right. The left Mastcam image’s resolution is first enhanced with three methods: Bicubic interpolation, pansharpening-based method, and a deep learning super resolution method. The enhanced left camera image and the right camera image are then used to estimate the disparity map. The impact of the left camera image enhancement is examined. The comparative performance analyses showed that the left camera enhancement results in getting more accurate disparity maps in comparison to using the original left Mastcam images for disparity map estimation. The deep learning-based method provided the best performance among the three for both image enhancement and disparity map estimation accuracy. A high-resolution disparity map, which is the result of the left camera image enhancement, is anticipated to improve the conducted science products in the Mastcam imagery such as 3D scene reconstructions, depth maps, and anaglyph images.</jats:p> Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions Sensors |
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| title |
Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions |
| title_unstemmed |
Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions |
| title_full |
Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions |
| title_fullStr |
Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions |
| title_full_unstemmed |
Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions |
| title_short |
Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions |
| title_sort |
mastcam image resolution enhancement with application to disparity map generation for stereo images with different resolutions |
| topic |
Electrical and Electronic Engineering Biochemistry Instrumentation Atomic and Molecular Physics, and Optics Analytical Chemistry |
| url |
http://dx.doi.org/10.3390/s19163526 |
| publishDate |
2019 |
| physical |
3526 |
| description |
<jats:p>In this paper, we introduce an in-depth application of high-resolution disparity map estimation using stereo images from Mars Curiosity rover’s Mastcams, which have two imagers with different resolutions. The left Mastcam has three times lower resolution as that of the right. The left Mastcam image’s resolution is first enhanced with three methods: Bicubic interpolation, pansharpening-based method, and a deep learning super resolution method. The enhanced left camera image and the right camera image are then used to estimate the disparity map. The impact of the left camera image enhancement is examined. The comparative performance analyses showed that the left camera enhancement results in getting more accurate disparity maps in comparison to using the original left Mastcam images for disparity map estimation. The deep learning-based method provided the best performance among the three for both image enhancement and disparity map estimation accuracy. A high-resolution disparity map, which is the result of the left camera image enhancement, is anticipated to improve the conducted science products in the Mastcam imagery such as 3D scene reconstructions, depth maps, and anaglyph images.</jats:p> |
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| description | <jats:p>In this paper, we introduce an in-depth application of high-resolution disparity map estimation using stereo images from Mars Curiosity rover’s Mastcams, which have two imagers with different resolutions. The left Mastcam has three times lower resolution as that of the right. The left Mastcam image’s resolution is first enhanced with three methods: Bicubic interpolation, pansharpening-based method, and a deep learning super resolution method. The enhanced left camera image and the right camera image are then used to estimate the disparity map. The impact of the left camera image enhancement is examined. The comparative performance analyses showed that the left camera enhancement results in getting more accurate disparity maps in comparison to using the original left Mastcam images for disparity map estimation. The deep learning-based method provided the best performance among the three for both image enhancement and disparity map estimation accuracy. A high-resolution disparity map, which is the result of the left camera image enhancement, is anticipated to improve the conducted science products in the Mastcam imagery such as 3D scene reconstructions, depth maps, and anaglyph images.</jats:p> |
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| spelling | Ayhan Kwan 1424-8220 MDPI AG Electrical and Electronic Engineering Biochemistry Instrumentation Atomic and Molecular Physics, and Optics Analytical Chemistry http://dx.doi.org/10.3390/s19163526 <jats:p>In this paper, we introduce an in-depth application of high-resolution disparity map estimation using stereo images from Mars Curiosity rover’s Mastcams, which have two imagers with different resolutions. The left Mastcam has three times lower resolution as that of the right. The left Mastcam image’s resolution is first enhanced with three methods: Bicubic interpolation, pansharpening-based method, and a deep learning super resolution method. The enhanced left camera image and the right camera image are then used to estimate the disparity map. The impact of the left camera image enhancement is examined. The comparative performance analyses showed that the left camera enhancement results in getting more accurate disparity maps in comparison to using the original left Mastcam images for disparity map estimation. The deep learning-based method provided the best performance among the three for both image enhancement and disparity map estimation accuracy. A high-resolution disparity map, which is the result of the left camera image enhancement, is anticipated to improve the conducted science products in the Mastcam imagery such as 3D scene reconstructions, depth maps, and anaglyph images.</jats:p> Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions Sensors |
| spellingShingle | Ayhan, Kwan, Sensors, Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions, Electrical and Electronic Engineering, Biochemistry, Instrumentation, Atomic and Molecular Physics, and Optics, Analytical Chemistry |
| title | Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions |
| title_full | Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions |
| title_fullStr | Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions |
| title_full_unstemmed | Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions |
| title_short | Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions |
| title_sort | mastcam image resolution enhancement with application to disparity map generation for stereo images with different resolutions |
| title_unstemmed | Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions |
| topic | Electrical and Electronic Engineering, Biochemistry, Instrumentation, Atomic and Molecular Physics, and Optics, Analytical Chemistry |
| url | http://dx.doi.org/10.3390/s19163526 |