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Signal and image processing

Signal and image processing

Course Information

CourseSignal and image processing CodeSAIP16MBK
Directions60610500 – Computer Engineering (Computer Engineering) Semester5
Form of StudyFull-time Taught LanguageEnglish
Lectures42 Practical Lessons30
Course teacherShuhrat Polvonov Independent Work108
Total Hours180 Credits6

Lectures – Semester V

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CodeTopicMaterial
L1Processing of static signalsDownload
L2Human audiovisual systemDownload
L3Continuous Fourier analysis, Fourier transform Download
L4Periodic and aperiodic signals..Download
L5Convolution, correlation, and Fourier transformation.Download
L6Analog filtersDownload
L7Signal segmentation and framingDownload
L8Sampling and aliasing phenomenon.Download
L9Discrete signal analysis and Z-transforms.Download
L10Discrete Fourier transforms.Download
L11Random signals and adaptive filtering.Download
L12Two-dimensional Fourier transformsDownload
L13MPEG (audio)Download
L14JPEG (image encoding).Download
L15Point and neighborhood image operators.Download
L16Methods for detecting object edges in images (edge detection)Download
L17Image shape extraction. Shape extraction based on evolution.Download
L18Image filtering.Download
L19Image restorationDownload
L20Machine learning algorithms for signal processingDownload
L21Machine learning algorithms for image processing.Download

Practical Lessons – Semester V

CodeTopicMaterial
P1Setting up and learning to use the working environment in MATLAB and the Google Colab online platform.Download
P2Learning preliminary processing of one-dimensional signals in MATLAB/Python programming environment.Download
P3Learning preliminary processing of two-dimensional signals in MATLAB/Python programming environment.Download
P4Performing convolution and correlation operations on one-dimensional signals.Download
P5Performing convolution and correlation operations on two-dimensional signals.Download
P6Performing filtering on one-dimensional signals.Download
P7Performing filtering on two-dimensional signals.Download
P8Performing morphological processing on imagesDownload
P9Geometric transformations in images: rotation, scaling, and flipping.Download
P10Applying compression algorithms to two-dimensional signals (images).Download
P11Using Gaussian filter to reduce noise in digital imagesDownload
P12Edge detection: Comparison of Sobel, Prewitt, and Canny algorithmsDownload
P13Developing a program and algorithm for object segmentation/recognition in images.Download
P14Signal processing using parallel processing technologies.Download
P15Image processing using parallel processing technologies.Download