An RGB image can be viewed as three different images(a red scale image, a green scale image and a blue scale image) stacked on top of each other, and when fed into the red, green and blue inputs of a colour monitor, it produces a colour image on the screen.
An RGB image is sometimes referred to as a true colour image as the precision with which a real-life image can be replicated has led to the nickname “true colour image.”
In MATLAB, an RGB image is basically a M*N*3 array of colour pixel, where each colour pixel is associated with three values which correspond to red, blue and green colour component of RGB image at a specified spatial location.
So, the colour of any pixel is determined by the combination of the red, green, and blue intensities stored in each colour plane at the pixel’s location.
Here each colour plane is a M*N array.
As can be seen in the above image, Pixel(A) has value (255, 0, 255) and is determined by the combination of intensities stored in the red colour plane, green colour plane and blue colour plane respectively.
Similarly, pixel(B) has value (127, 255, 0) and is determined in the same manner as pixel(A).
Colour planes of RGB image:
Consider an RGB image array ‘I’ then,
I(:, :, 1) represents the Red colour plane of the RGB image
I(:, :, 2) represents the Green colour plane of the RGB image
I(:, :, 3) represents the Blue colour plane of the RGB image
RGB image array range:
In MATLAB, an RGB image array can be of class ‘double’, ‘uint8’, or ‘uint16’ datatype. The datatype class of colour component determines the range of values.
if an RGB image is of class ‘double’ then each colour component is a value between 0 and 1.
Similarly, if an RGB image is of class ‘uint8’, the range of values that each colour component can have is [0 – 255] and [0 – 65535 ] if the RGB image is of class ‘uint16’.
The number of bits used to store a pixel value of component image determines the bit depth of an RGB image. For example, if each colour component image is an 8-bit image, the RGB image will be said to have 24 bit deep.
Possible number of colours in RGB image:
Let an RGB image is of class ‘uint8’, i.e the range of values a colour component plane can have is [0 – 255 ] ( a total of 256 shades of that colour).
So, each individual colour plane of An RGB image is capable of showing 256 shade of that colour.
So total number of combination of colour that can be represented in an RGB image is 256 X 256 X 256 = 16777216, approximately 16 million.
- MATLAB | Converting a Grayscale Image to Binary Image using Thresholding
- MATLAB | RGB image to grayscale image conversion
- Matlab | Dilation of an Image
- Matlab | Erosion of an Image
- Image Resizing in Matlab
- Image Complement in Matlab
- MATLAB | Complement colors in RGB Image
- Extract bit planes from an Image in Matlab
- How to vertically flip an Image using MATLAB
- LSB based Image steganography using MATLAB
- Create Mirror Image using MATLAB
- Flip image across Secondary Diagonal in MATLAB
- Image Processing in MATLAB | Fundamental Operations
- MATLAB | Complement colors in a Binary image
- MATLAB | Complement colors in a Grayscale Image
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