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Explore advanced image processing methods focusing on noise filtering and fine line transitions. This presentation delves into the comparison of original images with and without low-pass noise filtering, highlighting the effects on details and contours. We examine a variety of images, including subtle gray scale transitions and fine line striations, demonstrating the improvement in visual quality. Key examples involve the inclusion and exclusion of noise in specific regions, emphasizing the importance of noise reduction for sharper images.
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Times Two, X2 Original Image 512X480X8 bits Times Two Image without Noise Filtering
Times Two, X2 Original Image 512X480X8 bits Times Two Image without Noise Filtering circle ellipse Cusp Fine line transition curve
Times Two, X2 Original Image 512X480X8 bits Times Two Image without Noise Filtering Subtle gray scale transition dimple
Times Two, X2 Original Image 512X480X8 bits Times Two with Low Pass Noise Filtering Smoother fine line transition
Times Two Comparison Times Two without Low Pass Noise Filtering Times Two with Low Pass Noise Filtering Subtle Noise Noise Removed Very small speckle about transition contour Fine line striations Smooth area no striations No speckle about transition contour
Times Four, X4 Times Four wo/ Low Pass Noise Filtering Times Four w/ Low Pass Noise Filtering No speckle within the eye region Speckle within the eye region
Times Two Comparison Times Two without Low Pass Noise Filtering Times Two with Low Pass Noise Filtering Subtle Noise Noise Removed Very small speckle about transition contour No speckle about transition contour
Image with & without Noise Filtering Original Image 512X480X8bit Original Image with Low Pass Noise Filtering Hardly any change