Which is Better for Image Processing: FPGA or DSP?

DSPs focus on data processing, where algorithms are crucial. FPGAs primarily handle logic circuits. Many current frameworks are based on combined DSP and FPGA platforms, with DSPs managing algorithms and FPGAs handling logic timing. An FPGA can also perform DSP functions (DSP is the English abbreviation for Digital Signal Processing, and there isn't a significant difference between Digital Signal Processing and Digital Image Processing). This means you can use an FPGA for hardware design to implement the functions of a DSP chip. However, compared to specialized DSP chips, the cost can be too high. Therefore, there's no need to choose FPGA+DSP; simply selecting a DSP chip with appropriate algorithms will suffice.

Overall, DSPs and FPGAs each have their pros and cons, much like how current ARM processors are catching up to DSPs in digital signal processing capabilities. When choosing a chip, you must comprehensively consider factors including price to determine which is more suitable for your needs. Compared to FPGAs, DSPs offer more flexible programming, support various algorithm implementations, and allow for online debugging. C language is likely more familiar to you than Verilog!