<?xml version="1.0" encoding="UTF-8"?>
		<www.wjpsonline.org>
		<Title>Multi-Algorithm Image Processing Chain Optimization for Efficient and Accurate Image Analysis</Title>
		<Author>B V Sowjanya ,  J Nageswara Rao , N Shehanaaz </Author>
		<Volume>3</Volume>
		<Issue>2 ( April - June )</Issue>
		<Abstract>In this paper an algorithm is defined as an ordered set of processes or rules designed to achieve specific objectives In the context of this study an algorithm refers to the ordered set of computing processes used to enhance image processing This research focuses on designing an algorithm for image processing restricted to a new algorithm that employs cuttingedge techniques in both image processing and computing The algorithms examined in this study will be limited to those suitable for realtime applications and highresolution images The study will compare algorithms excluding others outside this scope Performance metrics such as speed efficiency and reliability will be key parameters considered without regard for cases beyond those specified during the algorithms design Genetic algorithms differential evolution and rankbased uniform crossover are the fundamental features of the two algorithms proposed for optimisation of image processing chains specifically LCHF IPCO and MIPCO</Abstract>
		<permissions>
<copyright-statement>Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
		</www.wjpsonline.org>
		