About the Course

Colour Image Processing is offered as an elective course for M. Tech (CS/AI) students. The course is designed to show that colour is much more than a combination of R, G, B components and is a result of the complex interaction of the human vision system with electromagnetic radiation in the visible range of 400 – 700 nm. Such knowledge leads to better processing of colour images and developing a deeper understanding of the typical colour degradations and their enhancements.

The course covers four main topics:

Colour Science
Processing Colour
Colour Technologies
Applications

Apart from the normal lectures, students have to participate in classroom demonstrations and practical activities. It is a course combining many theoretical concepts with practical experiments and the students are required to take part in the experimental aspects as much as in the classroom lectures and demonstrations. Several jupyter notebooks are provided for these exercises.

There is no textbook for the course but most necessary material will be made available during the course at appropriate times through this course webpage.

Administrivia.

Instructor: Chakravarthy Bhagvati E207, AI Lab.

Class Timings:
Mondays 2:00 PM – 4:00 PM
Thursdays 2:00 PM – 4:00 PM

Assessment:
One Minor Exam: 20 Marks (Second or Third Week of April)
Two Assignments: 20 Marks each
Best two of the above three will be counted for internal assessment out of 40 marks.
Final Exam: 60 Marks (as per university rules and regulations)

Textbook:
There is no real textbook for the course but the following are useful as references.

Andreas Koschan, Mongi Abidi. Digital color image processing, John Wiley and Sons, 2008. (PDF Format, 52 MB)
Gaurav Sharma (Ed). Digital color imaging handbook, CRC Press, 2003. (PDF Format, 18 MB)
Kurt Nassau (Ed). Color for Science, Art and Technology, Elsevier Press, 1998. (PDF Format, 27 MB)
Mark D. Fairchild. Color Appearance Models (Second Edition), John Wiley and Sons, 2005. (PDF Format, 8 MB)

Syllabus

I. Physics of Colour

IV. Colour Processing

II. Human Vision System

V. Colour Half-toning

III. Digital Colour

VI. Advanced Topics

Student List

Please check your names and inform me if there are any corrections.

S No.	Roll No.	Program	Name
1	21MCME30	IMTech-VIII	KOMPELLI SHIVA HARISH
2	22MCCE01	IMTech-VIII	VINJAMURI MEHER VENKAT RAMAN
3	22MCCE06	IMTech-VIII	PENTAMSETTY KRISHNA SATHVIK
4	22MCCE15	IMTech-VIII	NADELLA S S S KRISHNA CHAITANYA
5	22MCCE17	IMTech-VIII	AMBATI BHARADWAJ RAJU (CR)
6	22MCCE20	IMTech-VIII	PRAJJWAL
7	22MCCE22	IMTech-VIII	ABHISHEK KUMAR
8	22MCCE24	IMTech-VIII	PRATIK SINGH
9	24MCMT14	M.Tech(CS)	SAHIL SIDDIQUE
10	24MCMT20	M.Tech(CS)	PARNAB DUTTA
11	25MCMI01	M.Tech(AI)	HIMSHIKHA DEVI KOMALTA SEETAH
12	25MCMI02	M.Tech(AI)	MOHAMMED ALI MOHAMMED AL SAKKAF
13	25MCMI06	M.Tech(AI)	DAKARAPU ABHILASH
14	25MCMI08	M.Tech(AI)	PARANDA ROHITH
15	25MCMI09	M.Tech(AI)	K S HARISH BALAGI
16	25MCMI10	M.Tech(AI)	SRI REDDY JAGADISH V PAVAN SAI
17	25MCMI11	M.Tech(AI)	AKULA SRIKARA VIBHAS
18	25MCMI12	M.Tech(AI)	SIDDHARTH PANDEY
19	25MCMI13	M.Tech(AI)	VALIVETI GURUNATHA SREEKAR
20	25MCMI15	M.Tech(AI)	GEDELA UDAY KIRAN
21	25MCMI16	M.Tech(AI)	DASARI HARSHITHA
22	25MCMI17	M.Tech(AI)	AKSHAY K S
23	25MCMI18	M.Tech(AI)	PILLAMARI SAHIL SAGAR
24	25MCMI19	M.Tech(AI)	PATNAM SWADHIKA
25	25MCMI22	M.Tech(AI)	ARTI CHOUDHARY
26	25MCMI23	M.Tech(AI)	SAI GANESH KEMBURU
27	25MCMI24	M.Tech(AI)	RONDLA RAVI KIRAN REDDY
28	25MCMI26	M.Tech(AI)	J.KRISHNA CHARAN
29	25MCMI27	M.Tech(AI)	PATNALA VENKATA SAI HARSHITH
30	25MCMI28	M.Tech(AI)	KOMANDOORI DEEKSHITH
31	25MCMT01	M.Tech(CS)	ATTILI ABHIRAM
32	25MCMT03	M.Tech(CS)	HARSHAN RATHOD
33	25MCMT06	M.Tech(CS)	ADITYA SINGH
34	25MCMT07	M.Tech(CS)	VAGHMARE SIDDHARTH
35	25MCMT12	M.Tech(CS)	C BHANU PRABHU CHANDAN
36	25MCMT13	M.Tech(CS)	RIGVED PAL
37	25MCMT14	M.Tech(CS)	BANGARI RAKESH SAGAR
38	25MCMT15	M.Tech(CS)	PADALA SAI MIDHUN REDDY
39	25MCMT16	M.Tech(CS)	HUBLI FARA SULTANA
40	25MCMT17	M.Tech(CS)	DEEPAK KUMAR NIRALA
41	25MCMT19	M.Tech(CS)	SHANIKANT
42	25MCMT22	M.Tech(CS)	H LAVANYA
43	25MCMT24	M.Tech(CS)	ANISH PRAJAPATH
44	25MCMT28	M.Tech(CS)	NAGI REDDY SREEVEN REDDY
45	25MCMT29	M.Tech(CS)	SAI MAHIDHAR MAMIDELA
46	25MCMT30	M.Tech(CS)	KURHADE RUPALI SANDIP
47	25MCMT31	M.Tech(CS)	BODDU JOHN SUDEEP
48	25MCMT32	M.Tech(CS)	SUJITH KUMAR
49	25MCMT35	M.Tech(CS)	VEERENDRA NADH
50	25MCMT36	M.Tech(CS)	HARBAMON TERANG
51	25MCMT41	M.Tech(CS)	GAURI YOGESHWAR WANKHADE
52	25MCMT42	M.Tech(CS)	KETHAVATH RAJA NAYAK
53	25MCMT43	M.Tech(CS)	UDIT PANDEY
54	25MCPC51	PhD	ANMOL ADARSH

Assignments

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Assignment - I (Due Date: 25/02/2026)

Questions

(8 Marks) Use the book, Digital Image Processing, to find the equations for converting RGB to L*a*b* space and vice-versa. Write a Python module or C functions on your own to implement the conversions. Hint: You may want to use the openCV library in both Python and C languages.
Use your code to find the pair-wise distances between the colours: C1 = (64, 192, 96), C2 = (168, 255, 128) and C3 = (64, 66, 96) in RGB and L*a*b* spaces. Which distances appear to match your perception of the three colours?
(4 Marks) Consider the colour C = (0, 32, 128). Convert it into C^hsv using Python colorsys/openCV libraries. Multiply the intensity value by 1.5 and then convert the colour back into RGB space. Multiply the original C in RGB space by 1.5. In other words, multiply each component by 1.5. Are the two colours the same? Explain your answers.
(8 Marks) Download the Colour Matching Matrix in csv format. This contains the CIE colour matching functions from 400 nm to 700 nm in 5 nm intervals (i.e. 61 rows and 3 columns).
Using the data, write programs for two functions: to create a spectrum as follows create_gauss_spectrum(center, bandwidth, energy) The parameter center is the wavelength, expressed in nanometres between 400 and 700nm, bandwidth is the width of the spectrum and energy is the total area under the spectrum. The spectrum is a gaussian function centred at the wavelength with its standard deviation given by the bandwidth divided by 6. The gaussian function is defined as $$\mbox{gauss}(x, m, w, A) = \frac{A}{\sqrt{2\pi}w}e^{\frac{(x-m)^2}{2w^2}}$$ In this equation, $m = \mbox{center}, w = \frac{\mbox{bandwidth}}{6}, A = \mbox{energy}$.
Important: Remember to write the function such that the spectrum is also in steps of 5 nm from 400 nm to 700 nm.
The second function is to convert a spectrum into a colour spect2rgb(spect) where spect is the input spectrum and the return value from the function is an RGB triplet. If you are using a C program, use extra parameter(s) to get the return value as it is not easy to return an array.
You also need the XYZ to RGB conversion matrix (3x3). Download or copy the XYZ to sRGB matrix for D65 illuminants from any source on the WWW.
Use your functions to create three gaussian spectra with different sets of parameters and convert them into RGB colours. Are the colours what you expect? Explain briefly.

DIYs and Stuff

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Contact.

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