How to choose file formats and compression settings for Web imagery
... Removes unwanted colors (GIF, PNG) ...
... Removes unwanted colors (GIF, PNG) ...
I am assembling a - RIT Center for Imaging Science
... In computer graphics, a rendered pixel area might be made up of fractional areas of several objects. The ideal pixel value would be a weighted average of the values within the pixel area (and perhaps slightly beyond). However, a rendering algorithm normally samples only a single point in the center ...
... In computer graphics, a rendered pixel area might be made up of fractional areas of several objects. The ideal pixel value would be a weighted average of the values within the pixel area (and perhaps slightly beyond). However, a rendering algorithm normally samples only a single point in the center ...
restoration
... • Order filters – implemented by arranging the neighborhood pixels in order from smallest to largest gray level value, and using this ordering to select the “correct” value • Mean filters determine, in one sense or another, an average value ...
... • Order filters – implemented by arranging the neighborhood pixels in order from smallest to largest gray level value, and using this ordering to select the “correct” value • Mean filters determine, in one sense or another, an average value ...
10.5.4.2How It Works
... reduce speckle noise and salt and pepper noise. Its edge-preserving nature makes it useful in cases where edge blurring is undesirable ...
... reduce speckle noise and salt and pepper noise. Its edge-preserving nature makes it useful in cases where edge blurring is undesirable ...
PPT - Brown Computer Science
... How Can One Remove Noise? One can simply smooth pixel values so that, say, white spots become closer in value to the surrounding pixels. But this removes contrast generally. Better is to locate surface boundaries and remove abrupt intensity changes that do not correspond to boundaries. This requ ...
... How Can One Remove Noise? One can simply smooth pixel values so that, say, white spots become closer in value to the surrounding pixels. But this removes contrast generally. Better is to locate surface boundaries and remove abrupt intensity changes that do not correspond to boundaries. This requ ...
Filtered Backprojection
... Johann Radon • RT is the integral transform consisting of the integral of a function over straight lines. • The inverse of RT is used to reconstruct images from medical computed tomography scans. ...
... Johann Radon • RT is the integral transform consisting of the integral of a function over straight lines. • The inverse of RT is used to reconstruct images from medical computed tomography scans. ...
Working with Images for the Web Overview Using GIFs and JPEGs
... Notice how much smoother the anti-aliased symbol on the right appears. Under some circumstances, this blending can lead to nasty results. ...
... Notice how much smoother the anti-aliased symbol on the right appears. Under some circumstances, this blending can lead to nasty results. ...
Terminology Appendix
... Scintillator – A material that absorbs x-ray energy and re-emits part of that energy as visible light. Indirect TFT flat panel detectors use a scintillator. Two modern high-efficiency x-ray scintillators are cesium iodide and gadolinium Oxysulfide. Cesium iodide is hygroscopic and must be hermetical ...
... Scintillator – A material that absorbs x-ray energy and re-emits part of that energy as visible light. Indirect TFT flat panel detectors use a scintillator. Two modern high-efficiency x-ray scintillators are cesium iodide and gadolinium Oxysulfide. Cesium iodide is hygroscopic and must be hermetical ...
Edge detection
Edge detection is the name for a set of mathematical methods which aim at identifying points in a digital image at which the image brightness changes sharply or, more formally, has discontinuities. The points at which image brightness changes sharply are typically organized into a set of curved line segments termed edges. The same problem of finding discontinuities in 1D signals is known as step detection and the problem of finding signal discontinuities over time is known as change detection. Edge detection is a fundamental tool in image processing, machine vision and computer vision, particularly in the areas of feature detection and feature extraction.