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Bitmap Image Processing Homework: Header Extraction and Pixel Information Manipulation

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This project involves extracting bitmap file headers, creating histograms, and defining regions of interest based on specified coordinates in image pixel data. The assignment includes grading criteria and a report submission component.

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Bitmap Image Processing Homework: Header Extraction and Pixel Information Manipulation

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  1. Digital Image Processing #HW1 Extraction of Bitmap Header File Manipulation of Image Pixel Information Contact Information Tzu-Jui Wang (王子睿) Visual Communications Lab Dep. of Communications Engineering, National Central University No.300, JhongdaRd., JhongliCity, TaoyuanCounty 32001, Taiwan (R.O.C.) Phone: +886958801691 E-mail: juliuswang0728@gmail.com

  2. Outline • Reference • Work Flow • Introduction to Bitmap File • Homework Details • Extract Header File • Construct Histogram • Extract Region of Interest with Specified Coordinate Set • Grading Policy • Demo Schedule

  3. Reference • A Beginners Guide To Bitmaps, • http://local.wasp.uwa.edu.au/~pbourke/dataformats/bitmaps/ • http://atlc.sourceforge.net/bmp.html • Data type in Computer, wiki resources, • http://en.wikipedia.org/wiki/Integer_(computer_science) Those might be useful !

  4. Work Flow Input coordinate set (xi, yi), i=1,..,4 of bounding box 24-bit 8-bit Extract header information Extract region of interest Extract pixel information (x1,y1) (x2,y2) Construct histogram on R, G, B channels, respectively (x3,y4) (x4,y4)

  5. Introduction to Bitmap File (1/2) File header (14 bytes) Header file (Image profile) Info header (50 bytes) Empty for 24-bit image i.e. a 8-bit image, N = 28 Pixel information Image content

  6. Introduction to Bitmap File (2/2) 54 bytes + 1024 bytes Header + Color palette Header 54 bytes Image content Image content 24-bit lena.bmp 8-bit lena.bmp

  7. Construct Histogram • Histogram on R, G, B channels Pixel value Frequency Figure1: beatles.bmp Figure2: RGB histogram

  8. Extract Region of Interest with Specified Coordinate Set • Suppose given (x1, y1), (x2, y2), (x3, y3), (x4, y4) • The bounding box will be as followed (x1,y1) (x2,y2) Final output (x4,y4) (x3,y3) Bounding box

  9. Grading Policy – Code & Demo (80%) • Everyone will be asked few questions. • Extract Header File (20%) • We’ll test your system with images except lovely Lena. • Construct Histogram (30%) • Same as the above. • Extract Region of Interest with Specified Coordinate Set (30%) • Arbitrarily give four coordinates, and create a new bitmap file with extracted region.

  10. Grading Policy – Report (20%) • Report (20%) • Plot all your experimental results. (10%) • Depict the .bmp format as clear as possible. (5%) • Describe your findings as rich as possible. (5%) • We don’t force you to write down how you feel about this homework. But, you can still show it up. • Too trivial, too hard, …too ? • You can describe any difficulty you’ve encountered.

  11. Demo Time • Demo time will be at 2010.10.07, begin around 7:00 pm (2 weeks later) at R3-307 (VCLab). • Demo orders will be announced later, 5 minutes for each, please refer TA’s website. • http://140.115.156.251/vclab/html/course/DIP2010.html • Bring your codes and report. • No delay is allowed except a special cause.

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