Review on Performance Analysis of Square Pixel and Hexagonal Pixel Structure in Image Processing

Abstract

Image processing is very important in several applications and have been using in them very efficiently. In image processing most applications data is collected and displayed in square pixels but most of the time the feature extraction from an image like image segmentation, image detection, edge detection, texture recognition, etc becomes difficult to recognize in square pixel image. So, one new approach called hexagonal pixel structure has been designed to overcome the problems of square pixel structure. Hexagon pixel is advantageous because of its higher symmetry, higher sampling efficiency, equidistance, greater angular resolution, less aliasing effect, consistent connectivity. Out of the many advantages for the hexagonal pixel structure most important is its resemblance with the arrangement of photoreceptors in the human eye. Due to the arrangement the amount of pixels required is very less. So, in this work, quality representation of image which having square pixel structures are compared with images having hexagonal pixel structure.