DIP实验报告样本(英文版).docVIP

CSE/EE 485:? Digital Image Processing I Computer Project Report # : Project 0 Effects of Spatial Resolution Changes on Quantization on Gray Level Images Group #4: Isaac Gerg, Pushkar Durve Date: September 18, 2003 A. ?Objectives: Become familiar with commonly used Matlab Image Processing Tools in the image processing toolbox. Implementing the reading and writing of images in different file formats. Resize images using the IMRESIZE function. Study the effects of spatial resolution changes on gray level images. Study the effects of quantization on gray level images. Become familiar with colormaps and their affects on gray level images. (via COLORMAP function) ? B. Methods: There are five parts to the program, project0.m 1. Reading in lenna.gif using the IMREAD function.2. Resizing lenna.gif to 512 X 512 via IMRESIZE function.3. Experimentation of COLORMAP function via IMAGE function.4. Spatial resolution changes performed on lenna.gif utilizing the IMRESIZE function.5. Effects of quantization utilizing the GRAY2IND and IND2GRAY functions as well as a color map. All image objects were written using the IMWRITE function. Executing project0.m from Matlab At the command prompt enter: project0 ? C. Results: Image file names in parentheses. Outlined following program format described in the Methods section Figure 1: Original image (lenna.gif) Part 2 lenna.gif is a 256 x 256 8-bit intensity image. It was resized to 512 x 512. This resulted in a slightly chattery image that was twice as large as the original. This extra noise is a result of changing the spatial resolution to one greater than the original image without providing extra information to correctly interpolate the pixel intensities of the larger image. Figure 2: lenna.gif scaled to 512x512 (gerg_durve.jpg) ? Part 3 The image object was outputted using the IMAGE command. Then, the color space was changed to a predefined color space contained in Matlab called gray. By inspection, we could deter