Table of Contents
What is bit plane coding in image processing?
The technique, called bit-plane coding, is based on the concept of decomposing a multilevel (monochrome or color) image into a series of binary images and compressing each binary image via one of several well-known binary compression methods.
What is bit plane compression?
A bit-plane is a set of bits corresponding to the same. bit position within each word in a data array; in this case the. output of Delta. The BP transformation has been used for media. compression in the past [35], [36] and we show it works well.
How can bit plane slicing assist with image compression?
A bit plane of a binary image is a set of bits corresponding to a given bit position in each pixel value. It’s possible to representing an image with one or more bits of the byte used for each pixel. So this mechanism can be used for Image Compression, Feature Extraction and Quantization an image basically.
Which bit plane contains the most information?
The highest bit-plane is the Most Significant Bit (MSB) and the lowest bit-plane is the Least Significant Bit (LSB).
What is the importance of bit planes?
Separating a digital image into its bit planes is useful for analyzing the relative importance played by each bit of the image, implying, it determines the adequacy of numbers of bits used to quantize each pixel , useful for image compression.
How many planes and pixels are in grayscale image?
Digital images can be classified as grayscale (8-bit-planes) or colored (24 bit-planes) which depends on each pixel intensity levels, i.e., each pixel can be represented by 24-bits, 8-bits or even only one bit.
How do you use bit plane slicing?
In Bit-plane slicing, we divide the image into bit planes. This is done by first converting the pixel values in the binary form and then dividing it into bit planes.
How bit-plane slicing is useful for steganography?
This technique is called Bit Plane Complexity Segmentation (BPCS) Steganography. The main principle of BPCS technique is that, the binary image is divided into informative region and noise-like region. The secret data is hidden into noise-like region of the vessel image without any deterioration.
How is it useful to decompose an image into its bit planes?
What is bit plane slicing?
Bit plane slicing is a method of representing an image with one or more bits of the byte used for each pixel. One can use only MSB to represent the pixel, which reduces the original gray level to a binary image. The three main goals of bit plane slicing is: Converting a gray level image to a binary image.
What is gray level slicing in image processing?
Gray Level Slicing. Grey level slicing is equivalent to band pass filtering. It manipulates group of intensity levels in an image up to specific range by diminishing rest or by leaving them alone. This transformation is applicable in medical images and satellite images such as X-ray flaws, CT scan.
How bit plane slicing is useful for steganography?
What are the types of image thresholding?
Thresholding is the simplest method of image segmentation. From a grayscale image, thresholding can be used to create binary images….2.1 Types of thresholding methods :
- Threshold Binary. Formula:
- Threshold Binary, Inverted. Formula:
- Truncate. Formula:
- Threshold to Zero.
- Threshold to zero, Inverted.