![]() So in adjusting 3 very basic things, I can begin to determine what direction I want to take with this image. Photographs are visual storybooks, and the more sense of story you can convey, the more I think an image is successful in eliciting an emotional response. This is where I begin to develop a story for the image. Better, the clouds are more punchy and image looks a little sharper. Here it is after the contrast and clarity adjustment. Then I'm going to increase the clarity to give it some more punch. This time I'm going to increase contrast, which will make my bright areas brighter, and darken up my darker areas. So I'm going to need to adjust this image using the Basic Panel again. Dull, kinda flat and not exactly how I imagined it in my head. The easiest way is just to click Black & White in the Basic Panel here:Īnd this is our result. There are couple ways to do this in Lightroom. Often times deciding when to convert an image can be problematic, but my rule of thumb is, if it's not doing anything for you in color, convert it, you'll be surprised. It's not a great image in color by any means, it's just a okay, but through processing it in black and white we are going to make it great. So here is the image I will be working with. Open up Lightroom and locate your image, then switch over to the Develop Module and let's let the magic begin. The best part is that it's very to do with modern software. Your mind is less likely to get distracted by color, and the minimalism of black and white is very profound, poetic and moving. De-saturating an image of color opens up new possibilities in how one looks at an image. I may be a little biased, having learned photography through 35mm B&W tray processing, but what monochrome images can offer is still breathtaking. I often get asked many questions in teaching about post processing, and one I don't get as much I'd like, is how to convert a color image to black and white. Results show that the proposed complexity-based method is capable of obtaining good matching between image resolution and map scale in terms of both accuracy and users’ preference.Easily Convert Your Photo to Grayscale Using Lightroom Article by Scott Donschikowski Experimental evaluations were conducted in 15 representative areas in Hong Kong using maps at seven scales and eight image resolutions. More precisely, the matching is based on the complexity of line features. To solve this problem, we developed a complexity-based matching between the image resolution and map scale. This may lead to a situation in which the levels of detail (LoD) in images may not match the complexity of map features although the planimetric accuracy is matched. However, images with different resolutions can satisfy the standard for a specific map scale. ![]() The current solution is that the accuracy of images should satisfy the accuracy standard of maps. ![]() ![]() The quality of such maps is affected by several factors, such as (a) the matching between the features on images and the graphic symbols from maps, (b) the complexity of background images, and (c) the representation of graphic and text symbols on the images. This provides a guideline for effective use of transparency in image-map design.Īn image-map is a compromise between an image and a map. It has been found that: (a) the usability of image maps varies with the transparency of background image, mostly with a single peak and (b) the transparency level corresponding to the peak usability decreases with an increase in background complexity. ![]() 1,263 participants took part in this experiment, in which they were asked to distinguish natural and cultural features. Experimental datasets included image maps with 11 levels of image transparency, at three scales and in nine areas. Extensive experiments were conducted by user studies via an online questionnaire survey. This study focuses on the influence of the transparency of background image on the usability (i.e., effectiveness and efficiency) of image maps. However, such exploration is not systematically carried out. To make such maps more effective, some investigations have been conducted to reduce the complexity of background images by adjusting their transparency, contrast, and saturation. As satellite images are used as the background, the cartographic design of such maps is quite different from traditional mapping. Image maps, a compromise between images and maps, are an effective means of harnessing the advantages of realism from images and the high efficiency of interpretation inherent to maps. ![]()
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