Fast Fourier Transformation - Rounding Errors

I am transforming an image to a frequency spectrum, convolving it with a kernel, then inverse-transforming it back.

I wanted to ask how I can handle the rounding erro开发者_如何学JAVArs which occur during the transformation. Like when I transform an image, then immediately transform it back I have an average PSNR of 127. (I transform the pixels in float format between 0.0 and 1.0.)

Is it possible to calculate the errors and correct them?

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Short answer: If you want less rounding error, then you need a more accurate number format. Also, you cannot calculate the error.

More accurate floating-point formats include:

• x87 80-bit extended precision (long double)
• Fixed point with BigInteger
• BigDecimal

Also, isn't a PSNR of 127 dB very good already?