Video enhancement using spatial and temporal super-resolution from a multi-camera system

Quevedo, Eduardo; Cruz, J. de la; Callicó, Gustavo M.; Tobajas, F.; Sarmiento, Roberto

doi:10.1109/tce.2014.6937326

Cited by 14 publications

(12 citation statements)

References 15 publications

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“…In Figure 17, there is a relevant enhancement in the roofs and the facades of the buildings in the mixed SR method. Figure 18 shows that a higher definition is provided by the TS SR method versus the BSR, minimizing the number of artifacts in the items on the table [22]. …”

Section: Resultsmentioning

confidence: 99%

“…Accordingly, these method are named in the literature as spatial SR and temporal SR. In this section, the implementation of algorithms to enhance video sequences combining spatial and temporal SR with an MC approach is presented, together with some associated preprocessing steps [22,23]. According to the block diagram of • The Motion Estimation stage determines the motion between two or more frames with subpixel accuracy; depending on the selected scale factor (i.e., obtaining an output frame whose size is twice the vertical and horizontal size of the input frame would mean a scale factor of 2).…”

Section: Spatial and Temporal Sr Through A MC Systemmentioning

confidence: 99%

“…It includes the following steps: Figure 10. General scheme showing preprocessing modes and SR methods [22].…”

Section: Spatial and Temporal Sr Through A MC Systemmentioning

confidence: 99%

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Approach to Super-Resolution Through the Concept of Multicamera Imaging

Quevedo¹,

Marrero²,

Tobajas³

2016

Recent Advances in Image and Video Coding

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Super-resolution consists of processing an image or a set of images in order to enhance the resolution of a video sequence or a single frame. There are several methods to apply super-resolution, from which fusion super-resolution techniques are considered to be the most adequate for real-time implementations. In fusion, super-resolution and highresolution images are constructed from several observed low-resolution images, thereby increasing the high-frequency components and removing the degradations caused by the recording process of low-resolution imaging acquisition devices. Moreover, the proposed imaging system considered in this work is based on capturing various frames from several sensors, which are attached to one another by a P × Q array. This framework is known as a multicamera system. This chapter summarizes the research conducted to apply fusion super-resolution techniques to select the most adequate frames and macroblocks together with a multicamera array. This approach optimizes the temporal and spatial correlations in the frames and reduces as a consequence the appearance of annoying artifacts, enhancing the quality of the processed high-resolution sequence and minimizing the execution time.

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Section: Resultsmentioning

confidence: 99%

Section: Spatial and Temporal Sr Through A MC Systemmentioning

confidence: 99%

See 1 more Smart Citation

Approach to Super-Resolution Through the Concept of Multicamera Imaging

Quevedo¹,

Marrero²,

Tobajas³

2016

Recent Advances in Image and Video Coding

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“…The MC approach has been recently integrated in consumer video cameras for applications such as real-time omnidirectional video, full spherical panorama or driver behavior analysis [5]- [7]. In this context, it is deemed necessary to count with appropriate processing algorithms in order to improve the quality of recorded sequences [8].…”

Section: Introductionmentioning

confidence: 99%

“…However, a proposal combining the temporal and spatial information provided by an MC system is quite innovative, and has been recently published [8].…”

Section: Introductionmentioning

confidence: 99%

Super-resolution with adaptive macro-block topology applied to a multi-camera system

Quevedo

Cruz

Asensio

et al. 2015

IEEE Trans. Consumer Electron.

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Super-Resolution (SR) consists in processing an image or a set of images in order to enhance the resolution of a video sequence or a single frame. In this paper, fusion SR techniques are considered, where High-Resolution (HR) images are constructed from several observed Low-Resolution (LR) images, thereby increasing the high-frequency components and removing the degradations caused by the recording process of LR imaging acquisition devices. This paper follows a strategy combining the selection of the most appropriate frames and adaptive sized Macro-Blocks (MBs) together with a Multi-Camera (MC) system. This proposal optimizes the spatial and temporal correlations between the recorded sequences, and minimizes the appearance of annoying artifacts at the same time, improving the quality of the super-resolved HR sequence and reducing the computational cost by more than a factor of two. This type of image enhancement systems has many applications in Consumer Electronics appliances related to imaging. More specifically, many camera suppliers are incorporating Super-Resolution in their high-end products 1 .

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