Density-enhanced perceptual mosaic on GPU

Image mosaic effects are wildly applied in print media, domestic decoration, and many image beautification applications. However, the current image mosaic methods are mostly based on fixed-size image tiles, simple color adjustment, and irregular image segmentation, which are inaccurate and very time-consuming. In this paper, we present a graphics processing unit-accelerated perceptual mosaic using density tiles replacement and brightness lighting optimization, keeping original image structure details and providing more expressive visual effects. Automatic density replacement map segmentation and color-based region tiles replacement are performed to facilitate the mosaic. Delicate brightness optimization and perceptual color correction are further applied to enhance expressive lighting effects. We also consider the salience perception of images and similarity correlation among neighboring tiles for our perceptual mosaic. The experimental results have shown the efficiency and high-quality performance of our density-enhanced perceptual mosaic on graphics processing unit. This paper presents a density-enhanced perceptual mosaic using graphics processing unit parallelism, keeping the original image structure details well with density tiles replacement. Delicate brightness optimization and perceptual color correction are applied to enhance expressive lighting effects. Salience perception of images and similarity correlation among neighboring tiles are enhanced, providing expressive visual effects.