Image Enhancement: Image Enhancement

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2.8 Image Enhancement Image enhancement is a process of altering few features of an image to make it suitable than the original image for a particular operation or as a better input for other image processing techniques. There is no good or bad enhancement result. It is all based on human perception and the task for which it is to be applied. The enhancement does not increase original information of the signal, but it does increase dynamic range of the chosen features so as to detect them easily. Every selected feature in image enhancement has to be quantified, which is a challenging task. Noise reduction, grey level, contrast, brightness, color depth manipulation, sharpening, softening of images, filtration, interpolation, pseudo coloring and so on can be accomplished by image enhancing. …show more content…

The masks used for this purpose are called spatial masks. Image processing operations implemented with filtering include smoothing, sharpening, and edge enhancement. Filtering is a neighborhood operation, in which the value of any given pixel in the output image is determined by applying some algorithm to the values of the pixels in the neighborhood of the corresponding input pixel. We will consider both linear and non linear filters for image enhancement. Linear filters Linear filters perform linear operations and have corresponding filters in the frequency domain. Irrespective of the type of filter used, the basic approach is to sum products between the mask coefficients and the intensities of the pixels under the mask at a specific location in the image. Consider a 3x3 mask W_iand pixel intensities under the mask be Z_i. The response R of a linear mask is given by, R= w_1 z_1+w_2 z_2+w_3 z_3+……..+w_9 z_9 (2.9.1) Where, w_1 w_2 w_3 w_4 w_5 w_6 w_7 w_8 w_9 z_1 z_2 z_3 z_4 z_5 z_6 z_7 z_8

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