"Pixel" Essays and Research Papers

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    INTRODUCTION Obtaining a high-resolution (HR) image from single or multiple low-resolution (LR) images‚ known as “super-resolution” has been a problem. High resolution means high pixel density‚ also referred to as high-definition (HD). An HR image brings out details that would be blocked out in an LR image. More pixels in the same area imply a higher sampling frequency thereby offering more details. Due to the tremendous progress in sensor and chip manufacturing techniques‚ we can now obtain high

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    However‚ it fails to detect whole relevant pixels of some types of moving objects. Figure 2.3 shows an inaccurate motion detection example for the salient motion detection. Besides‚ it also fails to detect stopped objects in the frame. In order to overcome this problem‚ additional methods need to be adopted. The Gaussian Mixture Model (GMM) is a single extension of the Gaussian model. The single Gaussian models each pixels in a scene with an estimated mean intensity value. However

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    Note of Video Broadcasting

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    Topics in Digital Video Broadcasting Digital Video Broadcasting - Terrestrial 1 Digital Video Broadcasting Terrestrial MPEG-2 Transport Streams 2 Extended Event Descriptor under EIT      Tag value = 0x4E provides a detailed text description of an event may be used in addition to the short event descriptor possible to have more than one extended event descriptor text information can be (itemized) structured into two columns - item description field (item) -

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    DIGITAL IMAGE PROCESSING

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    techniques. Filtering is one of the enhancement techniques which is used to remove unwanted information (noise) from the image. It is also used for image sharpening and smoothening. Some neighborhood operations work with the values of the image pixels in the neighborhood and the corresponding values of a sub image that has the same dimensions as the neighborhood. The sub image is called a “filter”. The aim of this project is to demonstrate the filtering techniques by performing different operations

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    data along with wide variety of available images. Depending on the data hidden in the pixels directly or in the coefficients obtained after a suitable transform domain like FFT‚ DFT or DWT leads to spatial domain Steganography and frequency domain Steganography. Some of the commonly used methods of embedding payload in cover image are least Significant Bits (LSB) substitution in which the LSBs of cover image pixel are altered to hide the payload and more data can be hidden in

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    Enhanced Least Significant Bit Encoding Technique On the off chance that a pixel of the spread picture with the RGB (Red-Green-Blue code) shading A8A8A8 # is utilized‚ parallel 10101000-10101000-10101000 to shroud the message 111‚ the outcome would be (10101001-10101001-10101001): Results got concealing the message 111 in the pixel 10101000-10101000-10101000 with the LSB strategy The three minimum critical bits of the pixel have changed‚ presenting a little twisting‚ however the contrast between the

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    Photoelasticity

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    In Digital image processing‚ the given image is broken down into many pixels and a numerical value is attributed to each of the pixel resulting in an array of numbers. These numbers are analyzed to get the required information from the image. It is used in Optical character recognition‚ Medical imaging analysis‚ Digital photoelasticity‚ Digital image correlation and real time sports analysis. Pre-processing an image refers to applying filters to the image to get a better image in terms of contrast

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    Remote sensed images are not maps.by Mather and Koch Contents 1. Introduction----------------------------------------------------------------------------------1 2. Function of image preprocessing and its importance for image Analysis-----------1-10 2.1 Radio Metric correction Method--------------------------------------------------- 2-6 2.1.1 2.1.2 Cosmetic correction--------------------------------------------------------- 3-4 Atmospheric correction-----------------------------------------------------

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    basically‚ tiny switching transistors and capacitors. One of the most important technologies behind liquid crystal display. These are arranged in a matrix on a glass substrate. They are required to switch the LCD’s pixels on and off rapidly. In LCDs‚ each colour pixel is created by three sub-pixels with red‚ green and blue colour filters. Twisted Neman tics-To allow light to pass through‚ twisted nematic displays containing liquid crystal elements are used‚ these twist and untwist at varying degrees to

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    optical fiber

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    connections and switches would not have to be flat‚ as in an electronic computer. It could be placed in any direction in space‚ allowing totally new designs in information processing. Key of Optical Components for Computing: 1. VCSEL 2. SMART PIXEL TECHNOLOGY 3. WDM 4. SLM 1. VCSEL (VERTICAL CAVITY SURFACE EMITTING LASER) VCSEL (pronounced ‘vixel’ ) is a semiconductor vertical cavity

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