International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2015): 78.96 | Impact Factor (2015): 6.391 Volume 6 Issue 7, July 2017 www.ijsr.net Licensed Under Creative Commons Attribution CC BY Enhance and Compress the Dark Regions Depending on an Experimental Psychologist Law Maha A. Hameed Dept. of Astronomy, College of Science, University of Baghdad Abstract: This paper combines the enhance poor light image (which has reducing contrast for dark regions in image) then compresses it by recognition a background regions. At first, A Block Analysis for Gray level images method has been used to detect the background region in image by depending on an information from image block with dark regions or poor lighting. The presented work has been carried out by two steps; The first step, an information from each image block has been analyzes by A Block Analysis for Gray level images method ( i.e. background analysis based on high and low means for each block), while the second step, background for image with dark regions which has been enhanced is compressed. The aim of this paper is to detect the background image and enhance the contrast in gray level image with poor or reduced lighting then compresses it in low bit rates with good reconstructed enhanced image quality. Keywords: Contrast enhancement, high and low means, Image Background Analysis, An experimental psychologist law 1. Introduction For the last years, a successful movement has been started towards the direction of the improvement of image processing methods [1,2]. Many research has been carried out to enhance poor light images. Image enhancement is a method that increases the visual contrast of an image by detection of regions (such as edges, peaks, and other statistical features which is chief importance in poor light vision) [3,4]. The aim of enhancing image include the improvement of the visibility of the different regions into image. One can see that the enhanced image is more vision image than the original [5]. In this paper, the advanced of proposed method is the textural information has been rendered visible in the enhanced image. Where the presented work has been carried out by two steps. The first step, an information from each image block ( i.e. high and low means for each block) has been analyzes by A Block Analysis for Gray level images method to determine the criteria value α, where α is used as a threshold between dark and clear region, while the second step, background for image with dark regions which has been enhanced is compressed based on the Weber's law [3,5]. In other word, this paper presents a new image coding enhanced algorithm using Weber-Fechner condition which is an efficient method for decreasing computational complexity and improving compression results in low bit rates with good reconstructed enhanced image quality. Finally the aim of this paper is to detect the background in image and enhance the contrast in gray level image which has poor or reduced lighting then compresses it in low bit rates with good quality. 2. Image Background Analysis by Blocks Let G be the original image which is subdivided into n blocks. For each block, the minimum intensity m i and maximum intensity M i values ( i.e. high and low means for each block) are calculated [6], these values are used to find the background criteria α by using this equation [3-5]: n i M m i i i ,......., 2 , 1 2      (1) Where α is used as a threshold between dark F<= α and clear F> α (F is intensity levels). Depending on the value of α (the background parameter) which is decided for each analyzed block, the contrast enhancement is expressed as follows:           i i i i i i F M F k F m F k F R i    ) 1 log( ) 1 log( ) ( (2) While the background parameter is totally dependent on the background criteria α value, therefore, for F<= α , the background parameter takes the maximum intensity value M i within the analyzed block, otherwise takes the minimum intensity value m i . To avoid in determination condition, unit was added to the logarithmic function [4,5]. ) 256 log( 255 d k i   ,where      Otherwise M F m d i i i  (3) In the enhanced images, it can be seen that the objects which are dark visible region in the original image are appeared. 3. Contrast enhancement Digital image enhancement includes the improvement of the visibility and perceptibility of the different regions, which an image can be partitioned then defect ability of the image texture inside the regions. Enhanced image is usually followed by detection of features like edges, peaks, and other geometric features. One can see that the enhanced image is a sharper than the original image. mostly interesting is the fact that textural information has been cleared visible in an image which enhanced [3]. 4. An experimental psychologist law Weber- Fechner law is an experimental psychologist law where it is fine for different sensory scheme [2], which stated, " The ratio between the original intensity I o and the change in intensity (∆I=I-I o ) is remains constant "c"", (∆I/I o = c). This ratio is called Weber's ratio, and c is Weber's Paper ID: ART20174171 DOI: 10.21275/ART20174171 1625