Section Article

Improving Image Quality by Pixel Component Utilisation
Author(s): Kuldeep Bisht

Abstract
Within the domain of digital image processing this refers to a method for improving the quality of an image. Although the picture has previously undergone sharpening and smoothing this will elevate the image enhancement procedure to a greater degree of accuracy. The approach being used here diverges significantly from the existing methods of image enhancement algorithms and analysis. Any digitised image with complete boundaries is considered as the input. The input is examined either horizontally or vertically. This means that the screening procedure does not allow for the inspection of the inputs gradient slant or inclined pixels. In order to enhance the quality we use a technique that entails treating the pixels as individual segments. As an example the section of pixels from 1 to 4 is referred to as S1 and is composed of P1 P2 P3 and P4. Similarly the segment pixel (5-8) is represented as S2 and comprises P5 P6 P7 and P8. Both test segments S1 and S2 are considered from the same row or column as explained in instance 1.Furthermore the segments may be processed using other methods such as by considering their square or two-dimensional pixel components. These components can have dimensions such as 2×2 3×3 4×4 and so on. This procedure will standardise the intensity of the pixels and restore any neighbouring pixels that have been lost or remove any pixels that should not be there during the smooth comparison of segments S1 and S2. The segment size S1 S2 S3 S4 etc. is determined by a variable that spans from 2 to the maximum pixel-M. The quality of enhancement is improved by selecting the minimum P. The maximum pixel-M refers to the highest possible value.