An Efficient Perception-based Adaptive Color to Gray Transformation

The visualization of color images in gray scale has high practical and theoretical importance. Neither the existing local, gradient based methods, nor the fast global techniques give a satisfying result. We present a new color to grayscale transformation, based on the experimental background of the Coloroid system observations. We regard the color and luminance contrasts as a gradient field and we introduce a new simple, yet very efficient method to solve the inconsistency of the field. Having a consistent gradient field, we obtain the resultant image via fast direct integration. The complexity of the method is linear in the number of pixels, making it fast and suitable for high resolution images. Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Picture Image Generation]: Display Algorithms, Viewing Algorithms; I.4.3 [Image Processing and Computer Vision]: Enhancement-Filtering

• Type: Conference
• Year: 2007
• Where: CAE
• Authors: László Neumann, Martin Cadík, Antal Nemcsics
• Keywords: CAE 2007, Computer Graphics, Gradient Based Methods, Gradient Field, Image