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we are able to perform this extraction of the foundations some study, and if that knowledge empowers us with some increased understanding of the problem In science, knowledge advances by undertaking a series of studies, in order to either verify or falsify a hypothesis Sometimes these studies are theoretical, sometimes they are empirical, and frequently they are a mixture of the two The aim of a study is to contribute to a larger discussion, which will eventually lead to progress in the field A single piece of work is rarely, if ever, an end in itself Once a piece of work is published, it needs to be verified or shown to be false by others also Reproducibility is an important criterion for any result, otherwise it is worthless How we measure progress in a field is often a contentious issue, but it can involve several themes.

12.1 San Francisco dawn. ISO 200, 1/1000 second at f/2.5, 135mm 2.0 L lens. The 1Ds Mark III does wonderfully well in many situations. And although photography is about the camera, the nal image is, of course, about more than the camera: your vision, shooting techniques, and post work all combine to create the quality and value in an image.

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To test an idea it is often necessary to develop a suitable 'technology' for the investigation That technology might be mathematical, computational or mechanical It does not relate directly to the study itself, but it makes it possible for the study to take place In system administration, software tools form this technology For example, the author's management system cfengine [32] is a tool which was created to implement and refine a conceptual scheme, namely the immunity model of system maintenance [35] There is a distinction between the tool which makes the idea possible, and the idea itself Having produced the tool, it is still necessary to test whether or not the original idea was a good one, better or worse than other ideas, or simply unworkable in practice.

MATLAB Image Processing Toolbox provides a 2-D FFT function fft2 and an inverse FFT function ifft2. The 2-D fast convolution can be computed using the following steps: 1. The lter coef cient matrix and image data matrix must have the same dimensions. If one matrix is smaller than the other, we can pad zeroes on the smaller matrix. 2. Compute the 2-D FFT of both the image and coef cient matrices using the MATLAB function fft2. 3. Multiply the frequency-domain coef cient matrix with image matrix using dot product. 4. Apply the inverse 2-D FFT function ifft2 to obtain the ltered results.

Scientific progress is made with the assistance of a tool only if the results of previous work can be improved upon, or if an increased understanding of the problem can be achieved, perhaps leading to greater predictive power or a more efficient solution to the original problem All problems are pieces of a larger puzzle A complete scientific study begins with a motivation, followed by an appraisal of the problems, the construction of a theoretical model for understanding or solving the problems, and finally, an evaluation or verification of the approach used and the results obtained Recently, much discussion has been directed towards finding suitable methods for evaluating technological innovations in computer science, as well as to encouraging researchers to use them.

To my mind, landscape work is an important time to shoot RAW, although personally I shoot RAW on most assignments these days. Yes, JPEG often works well, but the question is what part of the information is being compressed and lost, and what isn t.

Example 15.8: Instead of performing 2-D convolution, the frequency-domain ltering uses multiplication. The use of MATLAB functions fft2 and ifft2 on RGB images can be expressed as

Nowadays, many computing systems are of comparable complexity to phenomena found in the natural world, and our understanding of them is not always complete, in spite of the fact that they were designed to fulfil a specific task In short, technology might not be completely predictable, hence there is a need for experimental verification..

There are many issues to be studied in system administration. Some issues are of a technical nature, while others are of a human nature. System administration confronts the humanmachine interaction as few other branches of computer science do. Here are some examples: Reliability studies (e.g. failure rate of hardware/software, evaluation of policies and strategies). Determining and evaluating methods for ensuring system integrity (e.g. automation, cooperation between humans, formalization of policy, etc.). Observations which reveal aspects of system behaviour which are difficult to predict (e.g. strange phenomena, periodic cycles).

Particularly where there are subtle tonal transitions, such as banding in the sky, shooting RAW guarantees that you re capturing as much smooth tonality and range as the sensor and camera are capable of, thus it s especially critically here. You also have a much wider range of color options while processing a RAW le than adjusting a JPEG; you can still change the

fft2R = fft2(double(RGB(:,:,1))); [imHeight imWidth] = size(fft2R); fft2Filt = fft2(coeff, imHeight, imWidth); fft2FiltR = fft2Filt .* fft2R; newRGB(:,:,1) = uint8(ifft2(fft2FiltR));

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