Video Mosaicing of Planer Scenes using Extended Kalman Filter

In this work, the large planar scene is reconstructed from small images. Small images can be consecutive video frames or sequence of photographs. In the problem, called mosaicing, instead of using widely used optimization based methods, probabilistic methods are used in the proposed method. Simultaneous Localization And Mapping(SLAM) techniques are adapted for video mosaicing. Probabilistic measures for the landmark locations are used to merge small images to create large scene. Experimental tests give promising results if the performance-complexity is considered at the same time.


Texture and edge preserving multiframe super-resolution
Turgay, Emre; Akar, Gözde (Institution of Engineering and Technology (IET), 2014-09-01)
Super-resolution (SR) image reconstruction refers to methods where a higher resolution image is reconstructed using a set of overlapping aliased low-resolution observations of the same scene. Although edge preservation has been a widely explored topic in SR literature, texture-specific regularisation has recently gained interest. In this study, texture-specific regularisation is handled as a post-processing step. A two stage method is proposed, comprising multiple SR reconstructions with different regularis...
Irmak, Hasan; Akar, Gözde; Yuksel, Seniha Esen; Aytaylan, Hakan (2016-07-15)
Super-resolution Reconstruction (SRR) is technique to increase the spatial resolution of images. It is especially useful for hyperspectral images (HSI), which have good spectral resolution but low spatial resolution. In this study, we propose an improvement to our previous work and present a novel MAP-MRF (maximum a posteriori-Markov random Fields) based approach for the SRR of HSI. The key point of our approach is to find the abundance maps of an HSI and perform SRR on the abundance maps using MRF based en...
Ghost Removal in High Dynamic Range Images
Khan, Erum Arif; Akyüz, Ahmet Oğuz; Reinhard, Erik (2006-10-11)
High dynamic range images may be created by capturing multiple images of a scene with varying exposures. Images created in this manner are prone to ghosting artifacts, which appear if there is movement in the scene at the time of capture. This paper describes a novel approach to removing ghosting artifacts from high dynamic range images, without the need for explicit object detection and motion estimation. Weights are computed iteratively and then applied to pixels to determine their contribution to the fin...
Koz, Alper; Cigla, Cevahir; Alatan, Abdullah Aydın (2008-10-15)
The recent advances in Image Based Rendering (IBR) have pioneered freely determining the viewing position and angle in a scene from multi-view video. Noting that a person could also record a personal video for this arbitrarily selected view and misuse this content, apparently, copyright and copy protection problems also exist and should be solved for IBR applications. In our recent work [1], we have proposed a watermarking method, which embeds the watermark pattern into every frame of multi-view video and e...
Noise reduction in high dynamic range imaging
Akyüz, Ahmet Oğuz (Elsevier BV, 2007-10-01)
A common method to create high dynamic range (HDR) images is to combine several different exposures of the same scene. In this approach, the use of higher ISO settings will reduce exposure times, and thereby the total capture time. This is advantageous in certain environments where it may help minimize ghosting artifacts. However, exposures taken at high sensitivity settings tend to be noisy, which is further amplified by the HDR creation algorithm. We present a robust and efficient technique to significant...
Citation Formats
E. Bati, Y. Z. Gürbüz, and A. A. Alatan, “Video Mosaicing of Planer Scenes using Extended Kalman Filter,” 2013, Accessed: 00, 2020. [Online]. Available: