| Zhang, Z., Blum, R., 1999. A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application. Proceedings of the IEEE, 87(8), pp. 1315--1326. |
....between the sensor and the objects in the scene. However, this requires a knowledge of the values of the camera parameters and or a model of the camera point spread function, and thus involves a lot of mundane camera calibration. In this paper, we follow another approach by performing image fusion [5], in which several pictures with different focus points are combined to form a single image. If each relevant object is in good focus in at least one of the source images, the fused image will then hopefully have all these objects in focus. The simplest fusion method just takes the pixel by pixel ....
Z. Zhang and R.S. Blum. A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application. Proceedings of the IEEE, 87(8):1315--1326, August 1999.
....most outstanding success of this technology has been achieved in image and video coding. In fact, standards such as MPEG 4 or JPEG 2000 are based on the discrete wavelet transform (DWT) Nevertheless, it is without doubt a valuable tool for a wide variety of applications in many different fields [1][2] This growing importance makes a performance analysis of this kind of transformation of great interest. Our study focuses on general purpose microprocessors. In these particular systems, the main aspects to be addressed are the efficient exploitation of the memory hierarchy, especially when ....
Z. Zhang and R. S. Blum. A Categorization of Multiscale-Decomposition-Based Image Fusion Schemes with a Performance Study for a Digital Camera Application. Proceeding of the IEEE, Vol. 87(8):1315-1325, August 1999
....video coding (state of the art standards such as MPEG 4 or JPEG 2000 are based on the discrete wavelet transform) it has also proven to be a valuable tool for a wide variety of applications in many different fields. Our interest in this transform is motivated by its application to image fusion [1]. This operation usually involves two stages: a preliminary registration step (where images from different sources would be geometrically registered in order to be superimposed) followed by the real merging process. A simple method for this second step could be to take the average of the source ....
Z. Zhang and R. S. Blum. A Categorization of MultiscaleDecomposition -Based Image Fusion Schemes with a Performance Study for a Digital Camera Application. Proc. of the IEEE, Vol. 87(8):1315-1325, Aug. 1999.
....success of this technology has been achieved in image and video coding. In fact, state of the art standards such as MPEG 4 or JPEG 2000 are based on the discrete wavelet transform (DWT) It is also a valuable tool for a wide variety of applications in many different fields (image fusion [1], computer graphics [2] etc) This growing importance makes a performance analysis of this kind of transformation of great interest. Our study focuses on general purpose microprocessors. In these particular systems, the main aspects to be addressed are the efficient exploitation of the memory ....
Z. Zhang and R. S. Blum. A Categorization of Multiscale-Decomposition-Based Image Fusion Schemes with a Performance Study for a Digital Camera Application. Proceeding of the IEEE, Vol. 87(8): 1315-1325, August 1999.
No context found.
Zhang, Z., Blum, R., 1999. A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application. Proceedings of the IEEE, 87(8), pp. 1315--1326.
No context found.
Z. Zhang and R. Blum. A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application. Proceedings of the IEEE, pages 1315--1328, August 1999. 496
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Z. Zhang and R. C. Blum, "A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application," Proc. IEEE 87, pp. 1315--1326, August 1999.
No context found.
Z. Zhang and R. C. Blum, "A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application," Proc. IEEE,vol. 87, pp. 1315-1326, August 1999.
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