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0052 mm Filter Array Color VIS Lens System SchneiderKreuznach fast sync Standard 55 mm F28 FOVdeg crosstrack 52 alongtrack 40 diagonal 62 80 110 240 mm SchneiderKreuznach fast sync lens options available upon request Exposure Control Allelectronic f. Chris Wood. Overview. What is an Image?. Camera sensors. Quantum Efficiency. What is bit depth?. Noise and Signal to Noise. What is resolution?. What are you resolving?. Camera control parameters. What is an Image?. Previous Lecture. Matting foreground from background. . Using a single known background (and a constrained foreground). . Using two known backgrounds. . Using lots of backgrounds to capture reflection and refraction. / Morphing. Computational Photography. Connelly Barnes. [. Wolberg. 1996, Recent Advances in Image Morphing]. Some slides from . Fredo. Durand, Bill Freeman, James Hays. Morphing Video: Women in Art. Haar. Transform. 4c8 – . Dr.. David Corrigan. Entropy. It all starts with entropy. Calculating the Entropy of an Image. The entropy of . lena. is = 7.57 bits/pixel . approx. Huffman Coding. Huffman is the simplest entropy coding scheme. Imaging sensor . Optic - . Lens. Camera Technology. IP vs analogue CCTV. Uniview. IPC features . Fundamental of . CCTV. 1/2". 6.4mm. 4.8mm. 1/3". 4.8mm. 3.6mm. 1/4". 3.6mm. 2.7mm. CCD . / CMOS image sensor. Graduation Project . Graphics Editor. Reference = Potrace: a polygon-based tracing algorithm,. Peter Selinger, September 20, 2003.. ABSTRACT . :. Our project . Vectorization. (raster-to-vector conversion) consists of analyzing a raster image to convert its pixels representation to a vector representation The basic assumption is that such a vector representation is more suitable for further interpretation of the image to get an image larger or smaller than the Real size without any loss in quality like a digital image.. Mariah N. . Birchard. , Faith K. Montgomery, Zachary R. Pruett, Kaitlyn L. Smith and David J. Sitar . Appalachian State University, Department of Physics and Astronomy. Experimental Setups and Results (Cont’d). Guoliang Li & Lei Wang. Purple Mountain . Observatoy. Classic Methods. 1.Interlace. 2.shift-and-add. 3.Drizzle. Convolution effects. The original image is a Gaussian profile with sigma=1.5, i.e., FWHM~4 pixels (black line).. and calibration. 15-463, 15-663, 15-862. Computational Photography. Fall 2018, Lecture 13. http://graphics.cs.cmu.edu/courses/15-463. Course announcements. Homework 3 is out.. - Due October 12. th. . OUTLINE. PIXEL BASED. FORMAT BASED. CAMERA BASED. PHYSICS BASED. GEOMETRIC BASED. PIXEL BASED METHODS: CLONING. Discrete Cosine Transform. Principle Component Analysis. PIXEL BASED METHODS: OTHER. Resampling. IMAGE SIZE AND COMPRESSION. Your camera probably allows you to select a number of different size and compression settings.. The point of having options for size is to manage the room on your camera better.. and Image Processing. Computer imaging can be separated into two primary categories:. 1. Computer Vision.. 2. Image Processing. In computer vision application the processed images output for use by a computer. Over-Exposed. Too little light creates an under-bright image with black spots: parts of the image are . Under-Exposed. Getting the . ‘. best. ’. exposure can be difficult in scenes with contrasting light. high resolution imaging of. the Jovian system. Matthew . Soman. , Andrew . D. . Holland, . Konstantin D. . Stefanov. , . Jason P. . Gow. , . Mark . Leese. Centre . for Electronic Imaging, The Open University, MK7 6AA, .