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Nguyễn Công Phương
DIGITAL IMAGE PROCESSING
Image Restoration and Blind Deconvolution
Contents
I. Introduction to Image Processing & Matlab II. Image Acquisition, Types, & File I/O
III. Image Arithmetic
IV. Affine & Logical Operations, Distortions, & Noise in Images V. Image Transform
VI. Spatial & Frequency Domain Filter Design VII. Image Restoration & Blind Deconvolution VIII. Image Compression
IX. Edge Detection
X. Binary Image Processing
XI. Image Encryption & Watermarking XII. Image Classification & Segmentation XIII. Image – Based Object Tracking
XIV. Face Recognition
XV. Soft Computing in Image Processing
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Image Restoration and Blind Deconvolution
1. Introduction
2. Image Representation 3. Deconvolution
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Introduction
• Image enhancement (improving image quality for visual purposes) includes:
– Noise removal,
– Constrast stretching,
– Histogram equalization, – Filtering,
– Restoration through deconvolution.
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Image Representation (1)
f (m,n) Defection function H(m, n, θ)
g(m,n) = f H +(m,n)
f H Σ
(k)
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