Multicamera system prototyping and construction For instance, the previous steps: MC system prototyping and construction and sometimes the MC system adjustment are not applicable if a commercial camera array is used, image capture is almost always considered, and pre- and postprocessing are sometimes omitted.Ģ.1. However, in some cases, many steps could be skipped. These steps are summarized in the proposed block diagram shown in Figure 1. The image reconstruction problem using an MC system applying an SR process could be stated as follows: Given a set of multiview low-resolution frames of size M × N pixels taken with a multicamera system, and a scale factor s, reconstruct a higher resolution frame of size sM × sN pixels that accomplishes the definition of resolution enhancement.Īfter a comprehensive review of the state of the art, it has been concluded that the application of SR to an MC system involves some preceding and subsequent steps. This framework is known as a multicamera (MC) system. In order to get several LR images minimizing the local motion, several digital cameras are attached to each other by a P× Qarray frame. This chapter proposes an imaging system in which high-resolution (HR) images are generated from low-resolution (LR) sensors through a SR image reconstruction process. SR arises in several fields, such as remote sensing, surveillance, and an extensive set of consumer electronics applications. Even though numerous methods have been developed to this end, there are still multiple future research challenges. The super-resolution (SR) reconstruction concept is considered in the literature as the process of combining information from multiple low-resolution images with subpixel displacements to obtain a higher resolution image.
The limitations of imaging devices directly affect the spatial resolution of images and video. 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. 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 framework is known as a multicamera system. 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. In fusion, super-resolution and high-resolution 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. 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. 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.