In the tumultuous post-independence period, a striking majority of India's population, estimated at approximately 70%, languished in dire poverty. As we transition into a new era, this disconcerting statistic has seen significant improvement. Today, we estimate the poverty rate at a comparatively diminished figure, around 15%. How did this remarkable shift transpire? To trace the roots of this evolution, we must journey back to India's nascent days as an independent nation. In the wake of 1947, India adhered to a unique socio-economic framework termed 'Democratic Socialism'. This compelling doctrine embodied a few salient principles: The fusion of private enterprise and societal welfare: Democratic socialism actively encouraged the participation of the private sector but insisted that it must work toward social advancements alongside economic prosperity. This approach reflects the ethos of successful cooperative movements such as Amul, which has revolutionized the dairy...
What to do When You Don't Have Gold Standard Images to Compare Your Processed Images How to Measure the Quality of Images When You Don't Have Gold Standard Images to Compare In the realm of image analysis and processing, quantifying image quality forms a crucial cornerstone of various methodologies. This is especially true when there's a lack of gold standard images or ground truth to set the benchmark. In such scenarios, we're often left asking: how can we measure image quality objectively or subjectively? Let's delve into this topic with an emphasis on establishing robust and reliable metrics for image quality analysis. Objective Measurement of Image Quality Without Ground Truth Objective quality metrics quantify the difference between two images based on numerical methods. But, how do we assess image quality objectivel...