A function that takes as input an image of any type (gray scale or RGB) and plots its corresponding histogram. Note: The three histograms generated for the RGB images must be 3D histograms.
A function that applies histogram equalization for any image (Gray-scale or RGB).
A function that takes as input a gray-scale image and shows its co-occurrence matrix as output.
A function that takes as input an image in the time/ spatial domain and outputs the corresponding image in the frequency domain by means of Fourier Transform.
function that takes as input two images (both in time/ spatial domain) and outputs an image resulting from their convolution.
It is known that convolution in the time domain corresponds to multiplication in the frequency domain. Accordingly, "convFreq" function that takes as input two images in time domain, converts them to their corresponding images in the frequency domain. The output is two images:
- An image in the frequency domain resulting from point multiplication.
- Another image in the time domain after applying inverse fourier transform on the output time domain image
A function that takes as input an image in the time/ spatial domain and a filter in the frequency domain. The output should be the filtered image in the frequency domain and another filtered image in the time domain after applying inverse fourier transform. (Hint: "fspecial" used to create the filters in time domain and then convert them into frequency domain using the function Fourier Transform)
- Filters in Frequency Domain ideal low pass filter (FDILP)
- Filters in Frequency Domaingaussian low pass filter (FDGLP)
- Filters in Frequency Domainideal high pass filter (FDIHP)
- Filters in Frequency Domain gaussian high pass filter (FDGHP)
A function that takes as input two images in the time/ spatial domain. The function should get the magnitude/ spectrum part from the first image (i.e. image X) by means of absolute, and the phase angle/ phase spectrum part from the second image (i.e. image Y) (phase angle = tan-1(Image=magnitue)). Then, a new image (first output of function) should be formed using this equation FreqDomain = abs(Y ): * exp(i * angle(X)). Finally, inverse fourier transform must be applied to the new image resulting in an image in time domain (second output).
A function used to perform arithmetic ENCODING: The function takes 3 inputs:
- A string with the message to be encoded where the characters are separated by "-"
- Two 1D arrays; one containing the characters and the other containing their probabilities. The function returns a number indicating the encoded message.
A function used to perform arithmetic DECODING: The function takes 4 inputs:
- A number (that results from the encoding)
- The number of characters in the message
- 1D arrays containing the characters
- 1D arrayscontaining their probabilities.
The function should return the decoded message as a string with the characters separated by "-".
A function that performs visible watermarking by means of blending. The function that takes as input two images and a number indicating the ratio of blending between the images. The function must return an output image after performing visible watermarking.