20-10-2012, 04:30 PM
Digital Image Processing
New Workshop (1).ppt (Size: 2.15 MB / Downloads: 149)
What actually is the image?
It has different definitions depend upon the field they are used.
Physics: An optically formed duplicate, counterpart, or other representative reproduction of an object, especially an optical reproduction formed by a lens or mirror.
Mathematics: A set of values of a function corresponding to a particular subset of a domain.
An image can be defined as a two-dimensional signal (analog or digital), that contains intensity (grayscale), or color information arranged along an x and y spatial axis.
Computer Science. An exact replica of the contents of a storage device, such as a hard disk, stored on a second storage device, such as a network server
Visual counterpart or likeness of an object, a person, or a scene produced by an optical device such as a mirror or a camera.
Image, in optics, likeness or counterpart of an object produced when rays of light coming from that object are reflected from a mirror or are refracted by a lens
What is mean by Digital Image Processing?...
It is the use of Computer algorithms to perform some process on Digital Images.
Here Computer Algorithm denotes the finite mathematical calculation instructions.
Histogram, Co-Variance, Mean, Standard Deviation these are all the some basic calculation process in Digital Image Processing.
Classification, Resizing, Extraction, Recognition these are all the some basic Process.
Compression
The Process to remove the Redundancy (Duplication) in Image
The Process to remove the Irrelevancy data information from Digital Image.
Irrelevancy – The data which is not able to see by Human Eye
Types of Compression
Lossless Compression
Data can be completely recovered after decompression
Recovered data is identical to original
Exploits redundancy in data
Lossy Compression
Data cannot be completely recovered after decompression
Some information is lost for ever
Gives more compression than lossless
Discards “insignificant” data components
Steganography
Hiding a Secret data in Digital Images without affecting the quality of Medium.
This image is called as StegoImage.
Steganography, Cryptography &Watermarking all are same concept only but some small different should be there.
Steganography Vs Watermarking
We are using Steganography method for Secure Transmission.
In watermarking we embed the 2D text or Image in an Cover image.
Watermarking concept only for Copyright Protection.
In watermarking we give the ownership for particular Image or any Medium.
In Steganography Cover Medium is not important what we embed that data is Important.
New Workshop (1).ppt (Size: 2.15 MB / Downloads: 149)
What actually is the image?
It has different definitions depend upon the field they are used.
Physics: An optically formed duplicate, counterpart, or other representative reproduction of an object, especially an optical reproduction formed by a lens or mirror.
Mathematics: A set of values of a function corresponding to a particular subset of a domain.
An image can be defined as a two-dimensional signal (analog or digital), that contains intensity (grayscale), or color information arranged along an x and y spatial axis.
Computer Science. An exact replica of the contents of a storage device, such as a hard disk, stored on a second storage device, such as a network server
Visual counterpart or likeness of an object, a person, or a scene produced by an optical device such as a mirror or a camera.
Image, in optics, likeness or counterpart of an object produced when rays of light coming from that object are reflected from a mirror or are refracted by a lens
What is mean by Digital Image Processing?...
It is the use of Computer algorithms to perform some process on Digital Images.
Here Computer Algorithm denotes the finite mathematical calculation instructions.
Histogram, Co-Variance, Mean, Standard Deviation these are all the some basic calculation process in Digital Image Processing.
Classification, Resizing, Extraction, Recognition these are all the some basic Process.
Compression
The Process to remove the Redundancy (Duplication) in Image
The Process to remove the Irrelevancy data information from Digital Image.
Irrelevancy – The data which is not able to see by Human Eye
Types of Compression
Lossless Compression
Data can be completely recovered after decompression
Recovered data is identical to original
Exploits redundancy in data
Lossy Compression
Data cannot be completely recovered after decompression
Some information is lost for ever
Gives more compression than lossless
Discards “insignificant” data components
Steganography
Hiding a Secret data in Digital Images without affecting the quality of Medium.
This image is called as StegoImage.
Steganography, Cryptography &Watermarking all are same concept only but some small different should be there.
Steganography Vs Watermarking
We are using Steganography method for Secure Transmission.
In watermarking we embed the 2D text or Image in an Cover image.
Watermarking concept only for Copyright Protection.
In watermarking we give the ownership for particular Image or any Medium.
In Steganography Cover Medium is not important what we embed that data is Important.