Author_Institution :
Nat. Inst. of Technol., Comput. Centre, Durgapur, India
Abstract :
Conversion of a color image into a grayscale image inclusive of salient features is a complicated process. The converted grayscale image may lose contrasts, sharpness, shadow, and structure of the color image. To preserve contrasts, sharpness, shadow, and structure of the color image a new algorithm has proposed. To convert the color image into grayscale image the new algorithm performs RGB approximation, reduction, and addition of chrominance and luminance. The grayscale images generated using the algorithm in the experiment confirms that the algorithm has preserved the salient features of the color image such as contrasts, sharpness, shadow, and image structure.
Keywords :
image colour analysis; RGB approximation; contrasts; grayscale image conversion; image color conversion; salient features preservation; shadow; sharpness; Application software; Approximation algorithms; Color; Computer applications; Gray-scale; Image converters; Image generation; Image processing; Pixel; Printing; color reduction; color to gray transformation;