image processing techniques

I want to make a project that will include only one requirement from each part: Part 1 : - SVD decomposition of an image - Implement the Karhunen - Loeve representation for image sets where each image has it's dimension with >=250(working on matrix blocks. use the colomn level alignment) Part 2: - Implement a polinomial decontrast operator - Implement the histogram specification method - Implementing the unsharp masking procedure Part 3: - Low pass filters BLP - High BHP filters - Low gaussian filters - High pass gaussian filters Part 4: - Maximum size filters for the elimination of unimodal noise - Alpha TRIMMED filter - Adaptive mediam filter - Arithmetic geometric and harmonic filters (in the spatial field) Part 5: - Reverse filter ( in the frequency domain) applying the reverse filter in the case of blur motion continues on the axis OX or OY - Geometric mean filter ( in the frequency domain) apply the filter to the degradation modal that also includes a bluer like component in discret case ( on OX or OY) and a noise component - Geometric average filter ( frequency range ) apply the filter to the degradation modal that also include a blur like component in continous case (on OX or OY) and a noise component - Eliminate corelated noise by applying decoding procedures and code contraction There cannot be 2 subjects from the same part.