the method used in taking these photographs is erroneously described as employing polarized light. This leads us to suppose that the technique is not widely known. It is simple, and has been found
Being conscious of the anchor colour can also help to add complexity to an image – by including other elements in the image that share the anchor colour with the subject. This helps to establish a link between the subject and its environment. At the same time, the viewer’s attention isn...
Fig. 9: Percentage of light-coloured eyes in Europe. Blue eyes are most common around the Baltic Sea. (creative commons Robert Frost) (https://commons.wikimedia.org/wiki/File:Eye_colors_map_of_Europe.png#filelinks). Full size image An observation on frequency of eye colour from the Twins...
Many image processing problems require the enhancement of coherent flow-like structures. This can be accomplished in a natural way by combining anisotropic diffusion filtering and texture analysis by means of the structure tensor (second-moment matrix, interest operator). In this paper an extension of...
The 'transparent work area' option in the preferences allows you to see right through to your desktop -- interpreting the alpha channel in the image, if present, as opacity. If you set the viewer to basic-mode (B-key, no UI widgets), and enter fullscreen mode (Alt-Enter), you can ...
In this paper we introduce a new dataset, UCID (pronounced "use it")- an Uncompressed Colour Image Dataset which tries to bridge this gap. The UCID dataset currently consists of 1338 uncompressed images together with a ground truth of a series of query images with corresponding models that an...
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Where the number of colours in the input sprite is <= 256, we could encode it in the reference sprite as just 8 bits of luminance and the alpha, i.e. L8A8 rather than RGBA. The only reason I'm not doing this is that I found out too late that Go's image package doesn't suppor...
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Based on this, one can estimate an image of a “restored” frame by replacing each cluster of pixels in F with the mean of B response. Thus, the restored frame is estimated from the degraded frame as $$\hat{X}_{restored} = \mathop \sum \limits_{k} \in_{{C_{k} }} \left[ ...