Final answer:
You can represent a bitmap image with less data by using image compression techniques such as lossless compression, with methods like Run-Length Encoding and deflation algorithms, or lossy compression, which removes less noticeable information using processes like Discrete Cosine Transform.
Step-by-step explanation:
To represent a bitmap image with less data, one of the most common methods is through image compression. Image compression can be either lossless or lossy. Lossless compression reduces file size without losing image quality, while lossy compression achieves greater data reduction by sacrificing some quality.
Lossless compression techniques include Run-Length Encoding (RLE), where consecutive data elements (pixels) are stored as a single data value and count. Another way is to use formats like PNG that employ deflation algorithms.
Alternatively, lossy compression methods, like those used in JPEG files, remove some image information which the human eye is less likely to notice. This is done by transforming the image to a frequency domain using a process like Discrete Cosine Transform (DCT), and quantizing the resulting values.