Critically endangered species in Canadian North Atlantic waters are systematically surveyed to estimate species populations which influence governing policies. Due to its impact on policy, population accuracy is important. This paper lays the ...

Color quantization is a common image processing technique where full color images are to be displayed using a limited palette of colors. The choice of a good palette is crucial as it directly determines the quality of the resulting image. Standard ...

Methods to undo the effects of motion blur are the subject of intense research, but evaluating and tuning these algorithms has traditionally required either user input or the availability of ground-truth images. We instead develop a metric for ...

In this paper, we propose a new statistical approach to investigate the performance of some objective quality metrics used in the literature in order to determine the most suitable quality metric for watermark transparency evaluation. To this end, we ...

Image quality assessment becomes more and more important with the development of image and video processing applications. Over the years, many new image quality metrics have emerged. It is important to evaluate performance of these quality metrics under ...

A new objective quality metric without reference for color fused image is proposed in this paper. This measurement combines the color similarity with the structural similarity between the source images and the fused image. The color similarity is ...

We propose the QCLICS algorithm for quality-controlled JPEG compression of image sets. Lossy compression of images results in a tradeoff between compression and quality: the greater the compression, the poorer the resulting image quality. Quality-...