Modern image and video compression often integrate classical rate-distortion theory with neural networks.
Some information is discarded to achieve higher compression, acceptable in multimedia (e.g., JPEG, MP3). B. Channel Coding (Error Control) Information and Coding Theory
H(X)=−∑x∈XP(x)logbP(x)cap H open paren cap X close paren equals negative sum over x is an element of cap X of cap P open paren x close paren log base b of cap P open paren x close paren where the unit is if Channel Capacity ( Modern image and video compression often integrate classical
Hamming codes, Reed-Solomon codes (used in CDs), and modern Low-Density Parity-Check (LDPC) or Polar codes (used in 5G). 4. Summary of Key Differences Source Coding Channel Coding Primary Goal Efficiency (Compression) Reliability (Error Correction) Action Removes redundancy Adds redundancy Metric Channel Capacity ( Timing Performed before transmission Performed during/for transmission 5. Modern Applications Modern Applications The goal is to represent information
The goal is to represent information as succinctly as possible by removing .
