Abstract
Contrast enhancement is a critical and difficult issue because inappropriate enhancement by existing global image enhancement techniques might result in over or under enhancement. Varying areas of the image that are lighted indicate different shades and contrast in the output images. Projected technique uses local colour correction in the Hue Saturation Luminance (HSL) colour space. To control colour fidelity in initial phase an optimized fuzzy intensification parameters are extracted automatically form fuzzy inference system for that particular image. Finally optimized Fuzzy Intensification parameter constants are used to minimize overexposed and underexposed areas and offers elevated contrast improvement. Several lab test conducted to analyze the effectiveness of the proposed method with existing strategies. Many quality evaluation parameters are evaluated, and findings are compared to some known colour picture contrast enhancement approaches. The produced output comparatively better than many existing techniques which support a moderate measure to visual perception of the processed images.
Highlights
Image enhancement is very popular area of image processing which aim is to convert the image in more acceptable viewing and have least distortion or noise
We find that there are currently some possibilities for advancing in existing comparisons with the use of local colour correction and automatic enhancement of the image operator's capabilities through an abstract thinking system
The proposed method's fundamental idea is to use the image after local colour correction in the Hue Saturation Luminance (HSL) domain and apply the default automatic fuzzy intensification
Summary
Image enhancement is very popular area of image processing which aim is to convert the image in more acceptable viewing and have least distortion or noise. Many real life application areas like satellite imaging, geographical information system, criminal identification and tracing, medical diagnostics, astronomy and visual cryptography uses an enhanced image to achieve their target. Among many image enhancement techniques most of them are satisfying the need of particular area of application like removing blur, removing extra noise, increasing contrast, improving optimal lightness or luminance. Contrast is difference between highest and lowest intensity values of pixel. It differentiates image object with its background. Contrast depend upon many factors like camera quality, available illuminance, differentiating power of human eye and surrounding environment etc. Often resultant image is not providing sufficient details which exhibit unnatural look due to washing out some part of image
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