This project explores the concepts of quantization and sampling in image processing using MATLAB. It includes MATLAB scripts that resize an image to different dimensions (sampling) and reduce the number of intensity levels in an image (quantization).

quant_A = imquantize(A,levels) quantizes image A using specified quantization values contained in the N-element vector levels. The quantized image quant_A is the same size as A and contains N +1 discrete integer values in the range 1 to N +1.

Dec 6, 2015 · Implementation of several image sampling methods including uniform, grid, jittered and best candidate algorithms. These algorithms differ in their complexity and spatial coverage, with the best candidate algorithm providing the greater spatial coverage, but at …

To quantify the activity in a specific region of the brain, we use brain slice imaging and standard enzyme-antibody staining to detect the expression level of c-Fos, a protein recognized as an indicator of neural activity.

Feb 25, 2018 · % Quantize the image into 5 levels. % Find out what gray levels are in the image. % Now it's in the range 1-5. Convert it to the range 0-255. % Find out what gray levels are in …

Feb 26, 2018 · In practice you should avoid the for loops in Matlab since matrix operations are much faster. Replace your code with Q1=uint8(double(I1/2^4))*2^4 No5 = figure; imshow(Q1); title('Part D: K = 4');

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Mar 18, 2024 · In this tutorial, we briefly discussed image processing as well as explored sampling and quantization concepts. In addition, we also highlighted some of the key advantages and popular applications of digital images.

Explore sampling and quantization in DSP using MATLAB. This lab experiment includes code, exercises, and examples for engineering students.

Aug 31, 2023 · Quantize the sampled image using 8 quantization levels. Assuming you want to do this in MATLAB, here is the possible solution: For sampling the scanned row into 100 equidistant samples, you can use the “linspace” function.