How is image processing different from computer vision?
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ɪᴛ sɪᴍᴘʟʏ ᴍᴇᴀɴs ᴛʜᴀᴛ ᴀɴ ᴀʟɢᴏʀɪᴛʜᴍ ᴅᴏᴇs sᴏᴍᴇ ᴛʀᴀɴsғᴏʀᴍᴀᴛɪᴏɴs ᴏɴ ᴛʜᴇ ɪᴍᴀɢᴇ sᴜᴄʜ ᴀs sᴍᴏᴏᴛʜɪɴɢ, sʜᴀʀᴘᴇɴɪɴɢ, ᴄᴏɴᴛʀᴀsᴛɪɴɢ, sᴛʀᴇᴛᴄʜɪɴɢ ᴏɴ ᴛʜᴇ ɪᴍᴀɢᴇ. ғᴏʀ ᴀ ᴄᴏᴍᴘᴜᴛᴇʀ, ᴀɴ ɪᴍᴀɢᴇ ɪs ᴀ ᴛᴡᴏ-ᴅɪᴍᴇɴsɪᴏɴᴀʟ sɪɢɴᴀʟ, ᴍᴀᴅᴇ ᴜᴘ ᴏғ ʀᴏᴡs ᴀɴᴅ ᴄᴏʟᴜᴍɴs ᴏғ ᴘɪxᴇʟs. ᴀɴ ɪɴᴘᴜᴛ ᴏғ ᴏɴᴇ ғᴏʀᴍ ᴄᴀɴ sᴏᴍᴇᴛɪᴍᴇs ʙᴇ ᴛʀᴀɴsғᴏʀᴍᴇᴅ ɪɴᴛᴏ ᴀɴᴏᴛʜᴇʀ.
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Computer vision comes from modelling image processing using the techniques of machine learning. Computer vision applies machine learning to recognise patterns for interpretation of images.
Digital image processing was pioneered at NASA’s Jet Propulsion Laboratory in the late 1960s, to convert analogue signals from the Ranger spacecraft to digital images with computer enhancement. Now, digital imaging has a wide range of applications
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