Which data compression technique is suitable for data having long sequence of the same value?

Which data compression technique is suitable for data having long sequence of the same value?

RLE is a simple lossless compression technique that assigns short codes to long runs of identical symbols.

What is the lossy compression step in audio and video compression schemes?

There are two basic lossy compression schemes: In lossy transform codecs, samples of picture or sound are taken, chopped into small segments, transformed into a new basis space, and quantized. The resulting quantized values are then entropy coded.

Which is the best algorithm to compress integers?

I have a large array with a range of integers that are mostly continuous, eg 1-100, 110-160, etc. All integers are positive. What would be the best algorithm to compress this? I tried the deflate algorithm but that gives me only 50% compression. Note that the algorithm cannot be lossy. All numbers are unique and progressively increasing.

How can i compress a list of values?

First, preprocess your list of values by taking the difference between each value and the previous one (for the first value, assume the previous one was zero). This should in your case give mostly a sequence of ones, which can be compressed much more easily by most compression algorithms.

Which is larger an integer a or B?

So no product of any two numbers A and B will be larger than 11*A+B (actually a product of N 0, N 1.N n can be translated as 11 n *N n +…+11 0 *N 0 ). Using Horner’s algorithm, n integers become one (larger) integer. Using a larger base for clarity (100 instead of 12), 1,7,9,11 becomes 1070911.

Why do you need a lossless compression algorithm?

You have to consider that compression – by which I assume you mean lossless compression – equates to the removal of redundant information. If you write 12,12,12,12,12 there’s redundance and you can write it as 12*5. So you need to find the information that you can make redundant.