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This paper explores the challenges associated with assessing video quality. Assessing video quality ultimately depends on the customer's reaction on their new TV. Many factors affect the video before it gets to the TV: compression nike kaishi run mens trainers , image processing, scaling, decoding, transmission, etc. To isolate their video algorithm, companies perform verification using: subjective and objective video assessment techniques. While it would be far cheaper, to perform only objective test, nothing beats the human eye. Thus, Objective video quality measurements and Subjective video quality assessment are complementary rather than interchangeable. Subjective assessment is appropriate for research related purposes; objective measurements are required for equipment specifications and day-to-day system performance measurement and monitoring. Problem Statement When dealing with equipment to process TV & video transmissions, every design depends on accurate, repeatable measurements. A complex relationship between objective parameter measurements and subjective video quality exists. The goal is to achieve an objective metric; that is an automated measurement. All of the equipment must be tested from video processors, compression units, transmission gear, set-top boxes, and displays. The evaluation of the video quality and ultimately, the customer's reaction to the picture shown on their new HDTV drives the business. Previous Options For years, traditional techniques that looked at color, brightness, contrast, etc. were effective. However, the advent of compressed digital video transmission has complicated the process of evaluating video sequences, with respect to perceived picture quality. During compression nike roshe run ireland , a certain amount of the original content is knowingly discarded. Visible impairments such as "blockiness" and Gaussian noise are by-products. Traditional measurement techniques that look at color, brightness, contrast, etc. are no longer effective.