New answers tagged

0

Lossless or non-lossy compression is, by nature, a bijection between "a raw data" and a "compressed binary". The fundamental consequence is that it CANNOT compress every file. In other words: suppose we consider all possible 3 MB binary files. No lossless compressor can effectively compress all files to a smaller size. There are several way to fathom this ...


0

I will share my experience in image optimization ... At first, I had to manually compress all the pictures through Photoshop. The most free option by the way (except for the cost of a license for Photoshop). But this process takes a lot of time if there are more than 10-20 pictures on the site. After all, each picture must be manually processed, and then ...


1

I think that DCT mainly helps with samples that are spatially correlated. The DCT is a linear transform that 1)does energy compaction quite close to the theoretically optimal PCA/KLT transform (representing as much of the signal energy as possible using as few coefficients as possible) for many «typical» images, 2) it can be computed efficiently using FFT-...


1

they are distributed randomly, what I know that every column has 4 zeros and other values either 1 or -1 compression for that image can be done efficiently, Compared with the image which is full of 1 and -1 without any zeros Since your spatial representation is already very sparse, it's likely that the DCT will reduce the compressability. Simple ...


Top 50 recent answers are included