Basic Digital Image Processing

Learn Basic Digital Image Processing

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In computer science, digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems.

• Number Systems

• Base Conversions

• Binary Numbers Representation

• Signed Binary Arithmetic

• Codes

• Error Detection & Correction Codes

• Boolean Algebra

• Canonical and Standard Forms

• K-Map Method

• Quine-McCluskey Tabular Method

• Logic Gates

• Two-Level Logic Realization

• Combinational Circuits

• Arithmetic Circuits

• Decoders

• Encoders

• Multiplexers

• De-Multiplexers

• Programmable Logic Devices

• Threshold Logic

• Sequential Circuits

• Latches

• Flip-Flops

• Conversion of Flip-Flops

• Shift Registers

• Application of Shift Registers

• Counters

• Finite State Machines

• Algorithmic State Machine Charts

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