ISSN (Online) : 2319 - 8753 ISSN (Print) : 2347 - 6710 International Journal of Innovative Research in Science, Engineering and Technology Volume 3, Special Issue 3, March 2014 2014 International Conference on Innovations in Engineering and Technology (ICIET’14) On 21 st & 22 nd March Organized by K.L.N. College of Engineering, Madurai, Tamil Nadu, India Copyright to IJIRSET www.ijirset.com 1139 M.R. Thansekhar and N. Balaji (Eds.): ICIET’14 An Improved Novel Algorithm for Memory Management of an Advanced Line Buffer Based Image Processing Pipeline J.Lakshmi #1 ,E.Anitha #2 ,P.S.Ramesh *3 Department Of Computer Science Engineering, Arunai Engineering College, Tiruvannamalai, Tamilnadu,India. Department Of Computer Science Engineering, Arunai Engineering College, Tiruvannamalai, Tamilnadu,India. Department Of Computer Science Engineering, Arunai Engineering College, Tiruvannamalai, Tamilnadu,India. ABSTRACT: The performance of the image is mainly based on the memory consumed, time and the quality of the image. High flexibility can be achieved by using the software implementation and by using the various image processing algorithms. In this paper the memory usage is considerably reduced by implementing certain rules and by reducing the noise in the image. By using the low memory environments the insertions of the algorithms will be easy. In the previous implementation the memory usage will be high compared to our present work .In the previous the filtering techniques and the image enhancement was not properly specified. So we are moving to a advanced techniques for removing the noise using median filter and image enhancement using the Otsu’s method. The implemented framework will increase the performance using various pipeline configurations. KEYWORDS — Pipeline, Otsu’s Method ,Median Filter, Image Enhancement I. INTRODUCTION Mechanism of developing a 2D picture by computer is referred to as image processing. Image is nothing but sequence of the variables. Brightness of the image at the real position can be obtained by amplitude a at the coordinate position at (x,y).Ex a(x,y) where a is the amplitude. Image processing manipulation can be done by storing image in memory system in sequence of image points in row or column of the image array. Images should be available in digital form .Digitization can be done with the help of sampling and quantization process where each pixel is quantized to fine number of bits. For displaying the image the signal should be converted in analog form and scanning can be done. In camera image intensity of the picture can be measured by the amount of light that is obtained at the time. Image quality also measured from the deviation that appears from the above mode. Images are manually made from physical model of the object (ie) from natural scenes which is constructed that inturn refers to sharpening of the message content to make a graphic display. By this process image information will not increase the content in the data. It includes the following process noise reduction, edge grasping and interpolation .Noise usually quantified by the percentage of pixels which are corrupted. Corrupted pixels are either set to the maximum value or have single bits. There are several ways