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Vector based graphics are generated using vectors, or mathematical instructions for direction and proportions. This requires the storage of two end-points in 2D space. If you had cartesian math (XY coordinates) in high school, this should ring a bell. Vector graphics are typically used in applications requiring lines, such as CAD or mechanical drawings, architectural design and electronic circuit board layouts. The advantage of vector graphics is that it doesn't require lots of disk space to store big drawings or pictures. Also, the vectors can be extremely accurate, depending upon the precision of the numbers used to record each vector and so can be zoomed to extremes. Vector based graphics aren't as effective for rendering 3-dimensional surfaces, such as those used in games, primarily because those objects can't easily be broken down into line segments. Vector images can be scaled to any size wihtout loosing "sharpness" (those jagged or fuzzy edges you see when you zoom in a lot on a pixel image).

Pixel-based image production renders a picture within a fixed-sized window. The size of the window is determined by the number of pixels, or picture-elements, that the screen has. A standard computer display screen may have 1024 pixels across by 768 pixels top to bottom. This gives a drawing canvas area of 786432 total pixels on which to draw. Each pixel can be drawn using whatever the color depth, or resolution, that the graphics card supports. PCs now have graphics cards that can render more color shades in a pixel than the eye can discern. The advantage of pixel-based rendering is that, depending upon the resolution of the graphics card, great detail can be shown. The disadvantage is that, because each pixel is rendered individually, each pixel must be stored separately. This can take up significantly more disk space than vector-based rendering. Another disadvantage is that at magnifications greater than the "native resolution" of your screen, edges of the image become fuzzy or jagged (depending on the rendering engine).

Interestingly, with the advent of modern-day graphics engines, vector-based image generation is often used in conjunction with pixel-based rendering. Many graphics engines use 3D vector triangles to represent parts of the surface of an object internally. Then, another part of the engine projects the rendered 3D vector images onto a 2D pixel-based screen in real time. Thus, you have fast, efficient storage and representation of images in memory with the high detail of pixel-based rendering. This is essentially how modern computer and Video Games work.

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What are the two types of images?

Vector and Raster or pixel images.


Does Vector images use pixel?

No. Raster images define images with pixels. But Vector images paint the pixels on your screen!


What are two types of image management programs?

There are two types of images you can work with, vector images and pixel(raster or bitmap images).Vector based software are Adobe Illustrator, CorelDraw and you can work both image types, but you have more capabilities to work with vector images, primer for pixel based software is Photoshop in which you can also work with both image types but you have more capabilities to work with pixel images.


What is the process to find the difference between two images?

To find the difference between two images, you can use image processing techniques such as pixel subtraction or feature matching. These methods involve comparing the pixel values or features of corresponding points in the two images to identify any discrepancies or changes between them.


What does Vector and Bitmap mean?

Vector and bitmap are both image files. Bitmapped images are images that are stored on a pixel by pixel basis and because of this, when you enlarge the image it can appear blocky. A vector image is constructed from dots, lines, shapes, etc. Each part has a particular position within the image with it's own dimensions. Because vector images are constructed using images, they can be enlarged without loss of image quality. Vector images do not get the blocky appearance of an enlarged bitmap image.


Graphic images where each pixel is bit-mapped and take up more memory?

Graphic images where each pixel is bit-mapped and take up more memory?


What does bitmap mean Bitmap?

Vector and bitmap are both image files. Bitmapped images are images that are stored on a pixel by pixel basis and because of this, when you enlarge the image it can appear blocky. A vector image is constructed from dots, lines, shapes, etc. Each part has a particular position within the image with it's own dimensions. Because vector images are constructed using images, they can be enlarged without loss of image quality. Vector images do not get the blocky appearance of an enlarged bitmap image.


What is the differeance between Rasta and vector?

Raster images are defined in pixels. ie At every x,y location, whether it is black or white. Vector images are defined by lines. eg From x,y to X,Y. Any pixel that lies between these points on a white background becomes black. It is easier to convert Vector images to Raster images, rather than the other way. Vector images are sometimes smaller (in data size). eg If the image contains one line, then the amount of data needed to store this is smaller than having to define every pixel in the image regardless of whether it is relevant. Vector images can be scaled smaller and larger without any significant loss of detail. Raster images that have been made smaller lose clarity and cannot then be made larger to improve the quality.


What are graphic images where each pixel is bit-mapped?

The bitmapped graphics file is a .bmp file.


What is the difference between photoshop and inkscape?

Photoshop is a raster/pixel-based program, and is also a product you have to purchase. Inkscape is a vector drawing program that's free.


Do vector-based images usually require less memory than bitmap images?

Yes - for simple images like drawings, because they describe how to generate the image and do not store each pixel apart.


How do you find the percentage difference between two images?

To find the percentage difference between two images, you first need to quantify the differences between them, typically by comparing pixel values. One common method is to calculate the mean squared error (MSE) or the root mean squared error (RMSE) between the corresponding pixels of the images. Once you have the error value, you can express the percentage difference by dividing this error by the maximum possible value (e.g., the maximum pixel value) and multiplying by 100. This will give you a percentage that represents how much the two images differ from one another.