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Description
Image Processing Series
This course Include
1) 47 videos (check curriculum + update will coming before exams)
2) Hand made Notes
3)Strategy to score good marks in Image processing (video will be out before final exams)No items in this section -
Index
- Introduction to Image processing
- Linear Stretching
- Histogram Equalization
- Improved gray-scale (IGS)
- Bit Plane Slicing
- DFT in Image processing
- DIT-FFT in Image Processing
- DIF-FFT in image processing
- Hadamard Transform
- Walsh Transform
- DCT (Discrete Cosine Transform )
- Haar Transform
- Opening and Closing (Morphological Operation )
- Dilation and Erosion (Morphological Operation )
- HIT and MISS (Morphological Operation )
- Hough Transform
- Homomorphic Filtering
- Data Compression (Lossy and Lossless)
- Unitary matrix
- Difference Between Lossy vs Lossless Compression
- Color models (RGB,CMY,HSI )
- Zero Memory Point Operation
- Fidelity Criteria
- Moments with Example
- Thresholding in Image Processing
- Region Growing in Image Segmentation
- Region Splitting in Image Segmentation
- Region Merging in Image Segmentation
- DIT FFT
- Image File Format
- Bitmap Image File Format
- JPEG Image File Format
- Tagged Image File Format (TIFF)
- Gray Level Transformation
- Convolution , Mask and Filtering
- Edge Detection
- Prewitt and Sobel Mask
- Robinson and Kirsch Mask
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New Videos
- Chain Code and Normalize Chain Code
- Huffman and Run Length Encoding (Compression Method Part 1)
- Arithmetic Coding ( Compression method part 2)
- Image Redundancies
- Vector Quantization
- IGS with BPP, MSE and PSNR
- JPEG Compression
- Low pass filter and High Pass Filter in Frequency Domain
- How to pass in Image processing | Importance + Strategy
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NOTES
Introduction to Image processing
Introduction to Image Processing
In this video, we have given a basic introduction to Image Processing. Image processing isย a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be an image or characteristics/features associated with that image.
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Linear Stretching
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Thank you very much Sirjii๐๐ป๐๐ป