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Saturday, July 27, 2019

Lab7 Essay Example | Topics and Well Written Essays - 750 words

Lab7 - Essay Example Just as original Image A, Image C looks similar to Image C1 after the logarithmic transformation. Above are images (1) original, (2) the transformed image of (1) and (3) is the reverse transformation of image (2). The original image (1) demonstrates the Fourier transmutation. The reverse image is available to reconstruct the original image which is a replica in the pixels and luminance. The reconstruction of the original image can be done through inverse Fourier transformation as depicted in image (3). The transformation of the original image (2) has high frequency in the center image hence it is viewed as a dot. (Sandra A, 2012) Image (i) is a circle image due to incoherent noise and its respective transformation image (ii). Image (i) indicates a random and even noise spread all over while image (ii) depicts a partial noise removal from the filtered image. Image (iii) is a circle with a coherent noise that is regular in the vertical direction. The image also has a sharp edge. It transformed image (iv) indicates inexistence of lines yet there appears wave-like circles around the dot to indicate existence of soft noise. The wave-like circles disappear when we move to the outside from the dot. This indicates lack on noise at the borders of the image. In comparison to the entire four images, (ii) appears sharper than (iv). Therefore, Fourier is able to separate the noise from image in a regular noise but remove just a few in a random noise. In the figures above, (1) is an ideal lowpass filter, (2) is the original circle through a filtered spectrum with incoherent noise and (3) is an inverse transformation of (2). The final image is made better than the original image through application of lowpass filter and production of low frequency through the filtered spectrum of original image. The final image shows more details and is brighter than image (1). Hence the lowpass filter is vital for noise removal from the image for

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