I am trying to convert a rgb565 image (video stream from the Android phone camera) into a greyscale (8 bits) image.
uint64_t n;// two 32-bit integers return ( (uint32_t)(n >> 32) == (uint32_t)n ); What is the fastest way to atomically compare the 32 most-significant bits to the 32 least-significant bits of
I have to flip all bits in a binary representation of an integer. Given: 10101 The output should be 01010
Is there a way to find out if a PNG is the 8 or 24 type? Ive tried with windows,开发者_开发百科 fireworks and photoshop but I cant figure this out.
When I run my app I get this output to the console: bit length overflow code 11 bits 7->5 code 16 bits 4->5
I am not able to understand what is meant by the following text, which I referred from a book: Consider the four two-bit numbers
I want to compress a file that looks like a BITMAP INDEX. (A file that is in binary format with \"0\" and \"1\" only).
I am trying to represent 32768 using 2 bytes. For the high byte, do I use the same values as the low byte and 开发者_开发知识库it will interpret them differently or do I put the actual values? So woul
This is more a question I\'m asking to understand rather than figure 开发者_如何学Cout a problem. Consider the following two:
I was wondering what your ideas were in developing an开发者_StackOverflow efficient algorithm for doing if/else switch/cases based on bits. I have 8 bits to play with and I need to divide them into hi
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