Enhancement & Restoration of Real Time Color Image Based on ARM 11

Abstract

In this paper, considering the adaptive characteristics of human visual system, a new color image
Enhancement algorithm based on human visual system adaptive filter is proposed. The new algorithm is divided into
three major parts: obtain luminance image and background image, adaptive adjustment and color Restoration.
Image restoration and enhancement is one of the leading research areas in the field of digital image processing.
This chapter deals with the basic aspects of image restoration and enhancement, and also discusses about the
application of soft of soft computing technique such as Fuzzy Logic in solving restoration and enhancement
problems. Image restoration attempts to reconstruct or recover an image that has been degraded by using a priori
knowledge of the degradation phenomenon. The principal objective of image enhancement is to process a given
image so that the result is more suitable than the original image for a specific application. It accentuates or
sharpens image features such as edges, boundaries, or contrast to make a graphic display more helpful for display
and analysis.