Gauss and Mean filters required a good knowledge of mathematics to understand its background. Median filter is very similar to both of them, but it based in a more logical approach than a mathematical one.

## Jul 26, 2015

## Jul 21, 2015

### Denoise filters: Mean

Continuing with article series about the denoise filters, we had seen that the Gauss filter had a very high sensitivity to noise due to it's static nature. Now is time to analyze a dynamic denoise filter based in the arithmetic mean of the input pixels, this is called the

**Mean Denoise Filter**. This filter adapts it's convolution kernel according to the values of the input pixels.## Jul 17, 2015

### Denoise filters: Gauss

We have seen before about convolution filters, and at the end of that article we have seen a kernel used for removing noise in an image, that is random spurious pixels in a image, the process of removing that random pixels is called

**Denoise**. In this case I will show you the general form of the denoising kernel based in gaussian distribution.## Jul 8, 2015

### Integral image and image blur

In this post I will show you an image processing technique that provides a great boost to algorithms that requires the summation of a large number of pixels, this technique is called

**integral image**, also known as**Summed Area Table**(SAT). Additionally, I will show you an algorithm used to blur an image that take advantage of the integral image.## Jun 30, 2015

### Image convolution

In this post I want explain a one of the most common and simple algorithm used in image processing. I will give a very basic introduction to its mathematical formulation, the source code in C++/Qt, and a some output examples.

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