Brightness, color, opacity and fading controls of images by matlab
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variable names are in [ ].
<INPUT>
for A and B movie [moviein_A or B], slice the movie into frames [framein_A, framein_B],
for frame horizontal and vertical resolution (in pixels) [hresol, vresol] and for block size specified [bsize], bandpass freq. band range [fband_low_block number - fband_high_block number] for the band pass filtering for each block, (for band pass filtering be sure to use DCT and take out the corresponding DCT coeff. for the freq. band range and IDCT)
color, brightness, fading and opacity are adjusted block by block for framein_A and framein_B,
by given block by block color setting factor input [color_block number] (option A1) or color setting factor with respect to look up table with the color of average band pass version of of the corresponding block of framein_B as inputs block by block (using blockout_color_A or B as an input) (option A2) and
given brightness up factor (option B1) for each block [brightness_block number]
and brightness up factor as a function of on Eq. 6 of Region based Contrast Enhancement of Mammograms) (option B2) -
and look up table as a function of average band pass version brightness of framein_B block (using blockout_brightness_A or B as an input) (option B3)
fading factor [fading_block number] as well as opacity factor [opacity_block number]
<OUTPUT>
generate framein_B lambda (block by block and by frame) [lambda_block_A or B, lambda_frame_A or B]
based on Eq. 3 of IMPROVED DCT COEFFICIENT DISTRIBUTION MODELING FOR H.264-LIKE VIDEO CODERS BASED ON BLOCK CLASSIFICATION.
generate average color and brightness of band pass version of framein_A, framein_B (block by block with array variable) [blockout_color_A or B, blockout_brightness_A or B, blockout_both_A or B] and corresponding block number [block number]
+
entire brightness and color adjusted image A frame and image B frame [frameout_color_A or B, frameout_brightness_A or B, frameout_both_A or B]
then combine the frames into two output movie A, B [movieout_A or B]
and subsampled by [sample] output movie A, B [movieout_A_sampled or B_sampled] also
I had done MS in Digital Image processing. Also i had 8+ years of experience in the field of Digital Signal Processing and Image Processing using Matlab. I can do this task for you.
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Hello, sir.
I read your description very carefully.
I think your problem needs a deep understanding on the fields of image processing including image enhancement, sharpening, region growing and so on.
I have been studied image processing technique using C++&MATLAB and taken a part in several projects like moving object detection and character recognition, so accumulated a good experiences on those field.
While reading your project description sentence by sentence, I'm sure you're a expert of image processing and the process to solve it will be a good chance to demonstrate and develop my technique .
Maybe you have the video script or images for testing and your own MATLAB programs.
Providing them will make the developing period short and help expanding the developer's idea, I believe.
I'm looking forward to discuss on your problem.
Best regards.
Dear,
I am Emanuele Martini a Biomedical Engineer who works as Software Developer in a Research Center in Milan in particularly in the image analysis field.
I work daily with Matlab, so I think that I could help you with your project.
If you are interested, please contact me.
Kind Regards,
Emanuele Martini
Have been working on 2D and 3D image processing algorithms since last 4 years. I have an extensive knowledge on the processing techniques and published few scientific articles also in an International Journals. For reference, google A. P. Taur and Hak Koon Yeoh for image processing.