Multifaceted Approaches for Facial Image Compression: A Review on State of Art Techniques and Applications

The advancement of modern communications technology necessitates image reduction in order to conserve space and minimize transmission costs. It not only intends to conserve space, but also facilitates faster data transmission. Facial images offer a wide spread applications such as biometric authentication, surveillance acts & human recognition. Such robust images which are originally large sized, when compressed can find more plausible applications. As a result, numerous researchers offered various methodologies of facial image compression; some of these works are covered in this review. Numerous lossless and lossy compression strategies that were employed by many researchers were also discussed in this study. This study offers an overview of several compression methods, their drawbacks, and performance parameters such as bits-per-pixel (BPP), peak signal -to- noise ratio (PSNR), structural similarity index (SSIM), face verification accuracy that analyses the efficiency of each technique. Lastly, considering the results of the survey, conclusions have been drafted and a few suggestions for aspiring researchers working in the field of face image compression has been offered as a summary of this review