[DIP]ImageEnhancement

목차

1 . Bit-plane slicing
a. MSB and LSB
b. Analysis of Source Code

2. The Sobel operator
a. Horizontal and Vertical
b. Enhancement
c. Threshold

3. Theory & Opinion
a. Image Enhancement
b. Bit-plane slicing
c. The sobel operator
d. Opinion

4. Reference

본문내용

Instead of highlighting gray-level ranges, highlighting the contribution made to total image appearance by specific bits might be desired. Suppose that each pixel in an image is represented by 8 bits. Imagine that the image is composed of eight 1-bit planes, ranging from bit-plane 0 for the least significant bit to bit-plane 7 for the most significant bit. In terms of 8-bit bytes, plane 0 contains all the lowest order bits in the bytes comprising the pixels in the image and plane 7 contains all the high-order bits. Figure 3.12, illustrates these ideas. Note that the higher-order bits(especially the top four) contain the majority of the visually significant data. The other bit planes contribute to more subtle details in the image. Separating a digital image into its bit planes is useful for analyzing the relative importance played by each bit of the image, a process that aids in determining the adequacy of the number of bits used to quantize each pixel.

참고 자료

Digital Image Processing – 디지털 영상처리 이론 및 구현 , 사이텍미디어 2007
http://en.wikipedia.org/wiki/Sobel_operator
Digital Image Processng Second Edition , Rafael C. Gonzalez, Prentice Hall