Machines like Internal Combustion Engines and gas turbines work on the principle of converting the heat energy into mechanical energy. Every effort is taken to elevate the operating temperature which in turn increases the output efficiency. However, the engine components cannot withstand such high temperatures and their life is seriously affected. The true gradient of the temperature to which these engine components are exposed is a wealth of knowledge for an engine designer. Conventional thermometry has got many limitations from measuring and mounting point of view and is unable to give the exact thermal gradient. Advancement in thermal mapping technique is required to enhance the development of these components. Comparatively thermal paints provide a better alternative to be used as temperature sensors. These paints change their color permanently when exposed to temperature. A proper calibration and automatic interpretation of these paints using digital image processing gives a reliable thermal contour. During the engine testing the carbon exhaust from the engine blackens the color of the thermal paint applied on the various components as it flows across it creating an obstacle in the color pattern (temperature) recognition. This article highlights the efforts taken in development and application of a filter which removes the effect of the carbon soot to denoise the degraded image and recover the original image to get the required temperature profile.
A quality of scanned color image is often hampered due the way images are printed. Usually electrophotographic printer prints the images by using halftoning technique wherein images are printed as a matrix of dots. This gives the illusion as images are printed as a perfect picture but behind the scene they are actually matrix of dots. So there is no problem as far as printed copies are considered, the real problem arise when such copies undergo scanning process. Scanned copies thus are affected by screen like artifacts and moiré patterns. The technique when applied on such images will produce clear scanned images. Technique consists of first separating the color image planes and then applying image redundancy based denoising algorithm to remove printing noise and to attenuate distortions. Then features such as screen frequency and local gradient are extracted to filter the image. This will remove halftone patterns in the scanned image. Finally edge preserving filtering is done to improve the sharpness of edges. Thus quality of resulting image will be better than the original image.
To print continuous tone images, Electrophotographic (EP) printer uses halftoning technique. Image halftoning prints the image as matrix of dots which are halftone patterns those are hardly perceived by human eyes. So scanned images obtained from such hard printed copies are normally affected by screen like artifacts and moiré patterns. Scanned color Image improvement using Image descreening technique will be used to descreen color scanned images so as to remove screening patterns and Moiré effects. Technique applied on grayscale images produces clean smooth regions and sharp edges from scanned halftone images. For color images technique consists of separating image plane and applying denoising algorithm to filter out printing noise and distortions. Features are then extracted to build adaptive filter kernel which while remove halftone patterns. Edge preserving filtering will be carried out to enhance the sharpness of the edges and finally all planes will be merged to get final denoised color image.
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