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Impulse noise removal is one of the important image preprocessing techniques since the noise will lead the image processing procedures into an unexpected direction. The candidate-oriented strategy that detects the corrupted pixels (noise candidates) and then updates the intensity value of those pixels can achieve better performance than the brute-force strategy. However, conventional noise detection...
Integral image becomes a very useful tool in most of the computer vision applications in recent years, and the parallelization strategy is the most popular approach for efficiently generating the integral image. However, most of current parallel integral image generation algorithms are developed based on the dedicated hardware architecture. In this paper, we developed a parallel integral image generation...
Histogram-based and region-based segmentation approaches have been widely used in image segmentation. Difficulties arise when we use these techniques, such as the selection of a proper threshold value for the histogram-based technique and the over-segmentation followed by the time-consuming merge processing for the region-based technique. To provide efficient algorithms that not only produce better...
We present a new robust high-capacity watermarking algorithm using the block-based chaotic map and the intersection-based pixels collection. The block-based chaotic map is created to break the local spatial similarity of an image partially. The intersection-based pixels collection is utilized to generate a container and a reference register which is used to indicate the location of the container for...
Image simplification is an important pre-processing task in object segmentation and recognition. The histogram-based approach is the simplest way of image simplification. However, it is difficult to find a general rule of obtaining the proper threshold for all different cases. Recently, the research on image simplification using morphology seems to achieve a better performance. Nevertheless, the quality...
Genetic algorithms (GAs) are considered as a global search approach for optimization problems. Through the proper evaluation strategy, the best "chromosome" can be found from the numerous genetic combinations. Although the GA operations do provide the opportunity to find the optimum solution, they may fail in some cases, especially when the length of a chromosome is very long. In this paper,...
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