This thesis emphasizes the improvement approaches of quality on digital data to be more sharpness by two- dimensional technique. Today the availability from the improvement of Digital Image Processing is used widely in various occupations such as medical field with reading the results from CT scanning military field with the improvement of aerial map for country prevention agricultural field with leaf analysis of its disease and the educational field with the image processing and robot vision to increase its effective learning and remembering development. It can be seen that the image development through its sharpness is really crucial therefore this thesis used the Gray Scale for transforming by two-dimensional wavelet and LL Band got from this wavelet transform to be improved by histogram technique. The histogram was divided into 4 parts based on its cumulative density at 0.25 0.5 0.75 and 1 then smoothed the data by separation after that brought the results to invert wavelet which gives the new image through improved LL band. The research result revealed that the mean of the Absolute Mean Brightness Error (AMBE) was decreased while enable the image sharpness to suitably increase 80%.

The sharpness of the image the current demand is increasingly high. Since many types of screens has developed a definition and high definition media support for secondary NICs modern electronica. But if we have information that is incomplete. Monitor is not working efficiently. There are various ways to improve the clarity of digital images. For example HE BBHE DSIHE and MMBEBHE have been developed to improve the image sharper and brighter. By improving the techniques for Histogram Equalization independently of each other. In this paper will present the Digital Image Enhancement via Multi-Peak Histogram Equalization (DIEMPHE) by histogram equalization into n sections as the turning point arch top and bottom of the Histogram. By each section is independent. Image results are the average brightness error is lower and the higher the intensity of the image.