BCS057 Image Processing Syllabus
AKTU B.Tech · 3rd Year · Unit-wise syllabus (effective 2024-25)
BCS057 Image Processing (also written as KCS057) is a subject in the 3rd year of the AKTU B.Tech programme, prescribed by Dr. A.P.J. Abdul Kalam Technical University with an L-T-P of 3-0-0. The syllabus is divided into 5 units: DIGITAL IMAGE FUNDAMENTALS, IMAGE ENHANCEMENT, IMAGE RESTORATION, IMAGE SEGMENTATION, IMAGE COMPRESSION AND RECOGNITION. The complete unit-wise topic list, course outcomes and reference books are given below, taken from the official AKTU syllabus effective from 2024-25.
BCS057 Subject Details
| Subject Code | BCS057 / KCS057 |
|---|---|
| Subject Name | Image Processing |
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU) |
| Course | B.Tech (Bachelor of Technology) |
| Year / Semester | 3rd Year |
| L-T-P | 3-0-0 |
| Total Units | 5 |
| Scheme Effective From | 2024-25 |
| Last Verified | 2026-08-17 |
BCS057 Image Processing Unit-Wise Syllabus
Official AKTU syllabus (effective 2024-25) — 5 units.
Unit 1: DIGITAL IMAGE FUNDAMENTALS
DIGITAL IMAGE FUNDAMENTALS: Steps in Digital Image Processing – Components – Elements of Visual Perception – Image Sensing and Acquisition – Image Sampling and Quantization – Relationships between pixels – Color image fundamentals – RGB, HSI models, Two-dimensional mathematical preliminaries, 2D transforms – DFT, DCT.
Unit 2: IMAGE ENHANCEMENT
IMAGE ENHANCEMENT: Spatial Domain: Gray level transformations – Histogram processing – Basics of Spatial Filtering– Smoothing and Sharpening Spatial Filtering, Frequency Domain: Introduction to Fourier Transform– Smoothing and Sharpening frequency domain filters – Ideal, Butterworth and Gaussian filters, Homomorphic filtering, Color image enhancement.
Unit 3: IMAGE RESTORATION
IMAGE RESTORATION: Image Restoration – degradation model, Properties, Noise models – Mean Filters – Order Statistics – Adaptive filters – Band reject Filters – Band pass Filters – Notch Filters – Optimum Notch Filtering – Inverse Filtering – Wiener filtering
Unit 4: IMAGE SEGMENTATION
IMAGE SEGMENTATION: Edge detection, Edge linking via Hough transform – Thresholding – Region based segmentation – Region growing – Region splitting and merging – Morphological processing- erosion and dilation, Segmentation by morphological watersheds – basic concepts – Dam construction – Watershed segmentation algorithm.
Unit 5: IMAGE COMPRESSION AND RECOGNITION
IMAGE COMPRESSION AND RECOGNITION: Need for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic coding, JPEG standard, MPEG. Boundary representation, Boundary description, Fourier Descriptor, Regional Descriptors – Topological feature, Texture – Patterns and Pattern classes – Recognition based on matching.
BCS057 Course Outcomes
- At the end of course , the student will be able:
- CO 1 Explain the basic concepts of two-dimensional signal acquisition, sampling, K1, K2
- quantization and color model.
- CO 2 Apply image processing techniques for image enhancement in both the spatial and K2, K3
- CO 3 frequency domains.
- CO 4 Apply and compare image restoration techniques in both spatial and frequency domain. K2, K3
- CO 5 K3, K4
- Compare edge based and region based segmentation algorithms for ROI extraction. K2, K3
- Explain compression techniques and descriptors for image processing.
BCS057 Reference Books
- Rafael C. Gonzalez, Richard E. Woods,Digital Image Processing Pearson, 3rd Edition, 2010
- Anil K. Jain,Fundamentals of Digital Image Processing Pearson, 2002.
- Kenneth R. Castleman,Digital Image Processing Pearson, 2006.
- Rafael C. Gonzalez, Richard E. Woods, Steven Eddins,Digital Image Processing using MATLAB Pearson
- D,E. Dudgeon and RM. Mersereau,Multidimensional Digital Signal Processing Prentice Hall Professional Technical
- William K. Pratt,Digital Image Processing John Wiley, New York, 2002
- Milan Sonka et al Image processing, analysis and machine vision Brookes/Cole, Vikas Publishing House, 2nd
Frequently Asked Questions about BCS057
What is the syllabus of BCS057 Image Processing?
The AKTU BCS057 Image Processing syllabus is divided into 5 units: DIGITAL IMAGE FUNDAMENTALS; IMAGE ENHANCEMENT; IMAGE RESTORATION; IMAGE SEGMENTATION; IMAGE COMPRESSION AND RECOGNITION. The complete topic list for each unit is published on this page, taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus effective from 2024-25.
How many units are there in BCS057?
BCS057 Image Processing has 5 units in the AKTU syllabus, with an L-T-P (Lecture-Tutorial-Practical) structure of 3-0-0.
Is BCS057 the same subject as KCS057?
Yes. AKTU renumbered its B.Tech subject codes from the 2022-23 session onwards, so the same subject appears as BCS057 and KCS057 depending on the scheme year. The syllabus content is the same.
Where can I download BCS057 previous year question papers?
AKTU B.Tech previous year question papers for every semester are available to download free on Ryzenstudy, with no login or registration required.
Is this the official AKTU syllabus for BCS057?
Yes. Every topic on this page is taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus document (AKTU B.Tech 3rd Year CS / Computer Engineering / CSE Syllabus), effective from 2024-25. A direct link to the original AKTU PDF is provided at the top of this page. Last verified on 2026-08-17.
Related AKTU Syllabus
Source: Dr. A.P.J. Abdul Kalam Technical University official syllabus — AKTU B.Tech 3rd Year CS / Computer Engineering / CSE Syllabus, effective from 2024-25. Ryzenstudy is not affiliated with AKTU. Content last verified on 2026-08-17.