because in fractal coding you save Coefficients of image blocks instead of values of block pixels. decoding starts from initial image and Coefficients applied on it. so the initial image can have any resolution
The dimensions of an image that can fit within a 20 KB size limit depend on various factors, including the image format (JPEG, PNG, etc.), color depth, and compression level. For example, a JPEG image may have a resolution of around 800x600 pixels at 20 KB, while a PNG image might have a lower resolution due to less efficient compression. Ultimately, the specific dimensions can vary widely based on these factors.
image compression makes the image smaller in order to fit a desired size. you literally compress the image and make it smaller in bit size.
MAGNIFICATION
The screen based images should have the same resolution as the screen - usually about 72dpi.
It is the creation of digital image, typically from a physical scene. The term assumed to imply or include processing,compression, storage, printing, and display of such image.
Common methods to reduce or eliminate image compression artifacts in digital images include using lossless compression techniques, increasing the image resolution, adjusting the compression settings, and using image editing software to manually remove artifacts.
The overall quality of a JPG image is determined by factors such as resolution, compression level, color depth, and the amount of detail in the image.
TIFF LZW compression for image files offers benefits such as reduced file size without compromising image quality, making it easier to store and share high-resolution images.
Changing the image resolution will affect the file size of the image and the quality of the image. Image resolution is measure in DPI, which is Dots Per Inch, this means that if you increase the resolution then the DPI will increase and the quality of the image will get better as a result as there are more pixels that make up the image, so the image will be more distinct and sharper. When the image resolution is increased the image has more pixels, this is the exact opposite to the compression techniques, this means that the file will get a lot bigger as the number of pixels increases. Decreasing the resolution, however, will make the image quality lower but will reduce the file size.
For practical purposes the clarity of the image is decided by its spatial resolution, not the number of pixels in an image. In effect, spatial resolution refers to the number of independent pixel values per unit length.
Uwe Strohbeck has written: 'A new approach in image data compression by multiple resolution frame-processing'
Low resolution is usually caused by a poor compression rather than poor capture. Low resolution images have less physical pixels than a high resolution one. The stretching of the image is what causes them to look poor. This low number of pixels is usually the result of downsampling of the the image for email or file size purposes.
Resizing refers to changing the dimensions or resolution of an image or file, making it larger or smaller. Compression is the process of reducing the file size of an image or file by reducing redundant data, making it easier to store and share while minimizing loss of quality.
The dimensions of an image that can fit within a 20 KB size limit depend on various factors, including the image format (JPEG, PNG, etc.), color depth, and compression level. For example, a JPEG image may have a resolution of around 800x600 pixels at 20 KB, while a PNG image might have a lower resolution due to less efficient compression. Ultimately, the specific dimensions can vary widely based on these factors.
Image artifacting in digital photographs can be minimized or corrected by using higher quality camera equipment, avoiding excessive image compression, adjusting the image resolution and sharpness settings, and using image editing software to manually remove artifacts.
It is a fractal: each enlargement of the snowflake is an identical image.
compression ratio=uncompressed image size/compressed size