Abstract
In this research has been improved the brightness and contrast through a new algorithm suggestion based on the algorithm retinex and algorithm settle histogram. Use retinex algorithm for homogeneous regions and algorithm settle histogram for edge regions and using effective Sobel. The comparison showed between the three methods by calculating the quality standards (μ, σ) and by observing the results that the Suggested method has successfully in enhancement brightness and contrast are almost equal compared with other methods. Keywords: Image quality, Scale retinex, Histogram, Mean, Standard deviation, Brightness, Contrast. DOI : 10.7176/APTA/76-04 Publication date :March 31 st 2019
Highlights
The image quality of the indicates its degree of clarity, and can be expressed by image analysis or analysis ability, which can be defined as the smallest angle separation between two bodies so that remain separate from each other in the visual system, Image quality can be defined as the quantity of sharpness and contrast in image details [1]
When the point in the insufficient contrast region, there is an enhanced of the lighting only and vice versa in the insufficient lightness region where there is only enhanced in contrast [5].Quality has become the highest here is enhanced of lighting and contrast
Figure (4) shows images original and enhanced using methods (HE,MSRCR,Merge algorithms retinex and the histogram equalization (MRHE)) According to the observation, we find that the best method is the proposed method where was an improvement in light and contrast reflect in the calculation of quality because preserve the contrast in the edge regions and enhance the lighting in homogeneous regions, in figure (5) represents the evaluation of the quality image enhanced by criteria (μ,σ)
Summary
The image quality of the indicates its degree of clarity, and can be expressed by image analysis or analysis ability, which can be defined as the smallest angle separation between two bodies so that remain separate from each other in the visual system, Image quality can be defined as the quantity of sharpness and contrast in image details [1]. When the point in the insufficient contrast region, there is an enhanced of the lighting only and vice versa in the insufficient lightness region where there is only enhanced in contrast [5].Quality has become the highest here is enhanced of lighting and contrast. At position x,y , c is the standard division of the Gaussian function , , is the image value for component i and symbol * denoted convolution. A final gain-offset has been applied as mentioned in [7]. This processing can be cause image colors to go towards gray, and an additional processing step is proposed in [2]:. (w1=w2=w3=1/3) and (c1=250, c2=120, c3=80) [2]
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